Add URDF model for RM75-B OmniPicker with detailed link and joint specifications

This commit is contained in:
2026-07-28 17:06:06 +08:00
parent fae5a560fb
commit 2a12eea4d5
34 changed files with 2006 additions and 403 deletions
+8 -6
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@@ -12,7 +12,7 @@ PICO/XR 双手柄 UDP JSON
-> /xr_rm/<arm_name>/current_pose、raw_target_pose、target_pose、cmd_vel、target_clamped 调试话题
```
当前控制方式是“手柄相对位姿 + 单步 QP”遥操作:按住 `grip` 时锁定当前手柄位姿和机械臂 TCP 位姿,之后根据手柄相对位移和相对旋转生成目标 TCP,经过工作空间限幅、目标低通、姿态低通和单帧步长限制后,每个控制周期执行一次 Placo QP,并通过 `rm_movej_canfd` 下发 7 个关节目标。松开 `grip`、UDP 或关节反馈超时、节点退出时会请求机械臂慢停。
当前控制方式是“手柄相对位姿 + 单步 QP”遥操作:按住 `grip` 时锁定当前手柄位姿和机械臂 TCP 位姿,之后根据手柄相对位移和相对旋转生成目标 TCP。姿态目标使用旋转矩阵和 SO(3) 最短路径完成死区、滤波与限速,不经过 RPY。每个控制周期执行一次 Placo QP,并通过 `rm_movej_canfd` 下发 7 个关节目标。松开 `grip`、UDP 或关节反馈超时、节点退出时会请求机械臂慢停。
## 当前范围
@@ -69,7 +69,9 @@ src/
│ └── msg/
│ └── XrController.msg # hand/grip/trigger/pose
└── xr_rm_teleop/
├── models/rm75/ # RM75 URDF 与网格
├── models/
│ ├── rm75/ # 旧 RM75 模型资源(launch 不再选用)
│ └── rm75_omnipicker/ # RM75 + OmniPicker fixed URDF 与网格
└── xr_rm_teleop/
├── placo_ik_solver.py # Placo 0.9.4 单步 QP 逆解
├── single_arm_velocity_teleop.py
@@ -239,7 +241,7 @@ ros2 launch xr_rm_bringup arm_debug.launch.py arm:=both use_mock:=false \
- `robot_port`RM75 TCP 端口,默认 `8080`
- `left_avoid_singularity` / `right_avoid_singularity`:左右臂避奇异参数,默认左 `0`、右 `1`
- `avoid_singularity`:非空时覆盖左右臂避奇异参数。
- `control_rate_hz`:同步关节反馈、执行一次 QP 并发送一次关节目标的频率,默认 `90.0`
- `control_rate_hz`:同步关节反馈、执行一次 QP 并发送一次关节目标的频率,默认 `125.0`
- `follow`:传给 `rm_movej_canfd` 的跟随标志,默认 `false`
- `configure_safety_limits`:连接真机后是否配置速度/加速度安全参数,默认 `true`
- `enable_tool_control`:是否在遥操作节点内启用末端工具控制 topic,默认 `true`
@@ -257,7 +259,7 @@ ros2 launch xr_rm_bringup arm_debug.launch.py arm:=both use_mock:=false \
`left_arm_rm75.yaml``right_arm_rm75.yaml` 用于 `arm_debug.launch.py arm:=left/right` 的单臂调试,因为单臂节点名是 `single_arm_velocity_teleop`
`xr_rm_bringup/config/peripherals_rm75.yaml` 保存末端工具坐标、负载和左右臂外设选择。当前左臂使用 `minisci`(沿工具局部 Z 偏移 `0.19 m`),右臂使用 `omnipic`(沿工具局部 Z 偏移 `0.16 m`)。URDF 仍只建模到法兰 `link_7`;QP 在 TCP 目标与法兰目标之间应用完整工具刚体变换。真机连接阶段会初始化外设,关节反馈、关节指令、慢停和开合命令复用该单臂节点的同一个 RealMan 连接。
`xr_rm_bringup/config/peripherals_rm75.yaml` 保存真实控制器使用的末端工具坐标、负载和左右臂外设选择,文件内容保持原状。Placo 使用 `xr_rm_teleop/models/rm75_omnipicker` 中的一体化 fixed URDF,直接控制相对 `omnipicker_base_link` 沿 `+Z` 偏移 `0.16 m``omnipicker_tcp`,不再把外设 YAML 的工具位姿重复转换到 QP。真机连接阶段会初始化外设,关节反馈、关节指令、慢停和开合命令复用该单臂节点的同一个 RealMan 连接。
重点控制参数:
@@ -267,8 +269,8 @@ ros2 launch xr_rm_bringup arm_debug.launch.py arm:=both use_mock:=false \
- `target_filter_fast_threshold_m`:进入快速滤波区间的目标变化阈值。
- `max_linear_speed`:目标位姿单帧步长限制对应的最大线速度。
- `enable_orientation_control`:是否把手柄相对旋转映射到 TCP 姿态。
- `orientation_filter_alpha` / `orientation_deadband_rad`:目标 TCP 姿态低通和死区。
- `max_orientation_speed`:目标姿态单帧步长限制对应的最大角速度
- `orientation_filter_alpha` / `orientation_deadband_rad`按 SO(3) 最短旋转角处理的目标 TCP 姿态滤波和死区。
- `max_orientation_speed`:目标 TCP 姿态沿 SO(3) 最短路径的最大角速度,当前为 `0.5 rad/s`
- `workspace_min` / `workspace_max`:笛卡尔工作空间边界。
- `cyl_radius_limit`:基座圆柱半径限制。
- `xr_to_robot_matrix``/xr/*_controller` Project 位移到 RM75 base 坐标的映射矩阵。
@@ -0,0 +1,154 @@
# RM75 Control Timing Stats Implementation Plan
> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
**Goal:** 在 Grip 激活期间每约 5 秒向 `arm_debug.launch.py` 终端输出一次控制链路耗时统计。
**Architecture:** 在现有 `SingleArmVelocityTeleop` 控制回调内使用单调高精度时钟记录实际周期、控制路径总耗时、QP、关节发送和反馈年龄。节点保存一个固定长度样本窗口,满窗后用 NumPy 计算 mean/P95/P99/max,输出一条 ROS 日志并清空窗口。
**Tech Stack:** Python 3.10、ROS2 Humble `rclpy`、NumPy、pytest。
---
### Task 1: 控制周期统计
**Files:**
- Modify: `xr_rm_teleop/test/test_joint_control.py`
- Modify: `xr_rm_teleop/xr_rm_teleop/single_arm_velocity_teleop.py`
- [x] **Step 1: 写失败测试**
`test_joint_control.py` 添加确定性两样本窗口测试:
```python
def test_timing_stats_logs_summary_and_clears_window() -> None:
messages = []
teleop = object.__new__(SingleArmVelocityTeleop)
teleop._arm_name = "right_rm75"
teleop._dt = 0.008
teleop._timing_stats_window = 2
teleop._timing_samples = {
name: []
for name in ("period", "total", "qp", "send", "feedback_age")
}
teleop.get_logger = lambda: SimpleNamespace(
info=lambda message: messages.append(message)
)
teleop._record_timing_sample(7.0, 6.0, 1.0, 0.5, 3.0)
assert messages == []
teleop._record_timing_sample(9.0, 10.0, 2.0, 0.7, 4.0)
assert len(messages) == 1
assert "right_rm75 timing n=2 deadline=8.000 ms" in messages[0]
assert "period[n=2 mean=8.000 p95=8.900 p99=8.980 max=9.000 ms overruns=1]" in messages[0]
assert "total[n=2 mean=8.000 p95=9.800 p99=9.960 max=10.000 ms overruns=1]" in messages[0]
assert "qp[n=2" in messages[0]
assert "send[n=2" in messages[0]
assert "feedback_age[n=2" in messages[0]
assert all(not samples for samples in teleop._timing_samples.values())
```
- [x] **Step 2: 确认测试因功能缺失而失败**
在工作空间根目录运行:
```bash
source /opt/ros/humble/setup.bash
PYTHONPATH=src/xr_rm_teleop pytest -q \
src/xr_rm_teleop/test/test_joint_control.py::test_timing_stats_logs_summary_and_clears_window
```
预期:失败并提示 `SingleArmVelocityTeleop` 没有 `_record_timing_sample`
- [x] **Step 3: 实现最小统计逻辑**
在节点初始化中创建约 5 秒的窗口:
```python
self._timing_stats_window = max(1, int(round(5.0 / self._dt)))
self._timing_samples = {
name: []
for name in ("period", "total", "qp", "send", "feedback_age")
}
self._last_control_tick_started_ns: int | None = None
```
为每组样本计算统计摘要:
```python
def _timing_summary(
self,
name: str,
samples: list[float],
deadline_ms: float | None = None,
) -> str:
values = np.asarray(samples)
result = (
f"{name}[n={len(samples)} mean={np.mean(values):.3f} "
f"p95={np.percentile(values, 95):.3f} "
f"p99={np.percentile(values, 99):.3f} "
f"max={np.max(values):.3f} ms"
)
if deadline_ms is not None:
result += f" overruns={np.count_nonzero(values > deadline_ms)}"
return result + "]"
```
满窗后输出并清空:
```python
def _record_timing_sample(
self,
period_ms: float | None,
total_ms: float,
qp_ms: float,
send_ms: float,
feedback_age_ms: float,
) -> None:
if period_ms is not None:
self._timing_samples["period"].append(period_ms)
self._timing_samples["total"].append(total_ms)
self._timing_samples["qp"].append(qp_ms)
self._timing_samples["send"].append(send_ms)
self._timing_samples["feedback_age"].append(feedback_age_ms)
if len(self._timing_samples["total"]) < self._timing_stats_window:
return
deadline_ms = self._dt * 1000.0
summaries = [
self._timing_summary("period", self._timing_samples["period"], deadline_ms),
self._timing_summary("total", self._timing_samples["total"], deadline_ms),
self._timing_summary("qp", self._timing_samples["qp"]),
self._timing_summary("send", self._timing_samples["send"]),
self._timing_summary("feedback_age", self._timing_samples["feedback_age"]),
]
self.get_logger().info(
f"{self._arm_name} timing n={len(self._timing_samples['total'])} "
f"deadline={deadline_ms:.3f} ms | " + " | ".join(summaries)
)
for samples in self._timing_samples.values():
samples.clear()
```
`_control_tick()` 中围绕 QP 和发送调用采样,并在关节命令处理完成后记录总耗时。早退周期不进入统计窗口,现有控制和安全逻辑保持不变。
- [x] **Step 4: 运行测试确认通过**
```bash
source /opt/ros/humble/setup.bash
PYTHONPATH=src/xr_rm_teleop pytest -q src/xr_rm_teleop/test/test_joint_control.py
```
预期:全部通过。
- [x] **Step 5: 完整验证**
```bash
source /opt/ros/humble/setup.bash
pytest -q src/xr_rm_teleop/test/test_orientation_control.py
colcon build --symlink-install
```
预期:姿态测试和工作空间构建全部通过。根据仓库规则,不自动提交 Git。
@@ -0,0 +1,390 @@
# RM75 SO(3) 姿态跟随与 OmniPicker 模型 Implementation Plan
> **For Codex:** REQUIRED SUB-SKILL: Use `superpowers:executing-plans` to implement this plan task-by-task.
**Goal:** 去掉遥操作控制路径中的 RPY 往返转换,使 RM75 TCP 姿态始终沿 SO(3) 最短路径跟随,并让左右臂的 Placo QP 直接控制一体化模型中的 `omnipicker_tcp`
**Architecture:** 保留现有单节点、单步 Placo QP、关节反馈、RealMan 连接和安全停止链路。XR 四元数映射为机器人旋转矩阵;平移使用直接位置差,姿态使用 SO(3) 对数误差,二者以解耦 `3+3` 形式处理。Placo 接收完整 `4×4` 目标矩阵并直接约束 URDF 的 `omnipicker_tcp`,不再读取外设工具位姿做 QP 末端换算。
**Tech Stack:** Ubuntu 22.04、ROS2 Humble、Python 3.10、NumPy、Placo 0.9.4、Pinocchio 3.7.0、pytest、URDF。
**Repository rule:** 不执行 `git commit``git push` 或真机命令。所有启动验证必须显式使用 `use_mock:=true``peripherals_rm75.yaml``avoid_singularity`、可操作度任务和既有安全限制保持不变。
---
## 文件范围
- Create: `xr_rm_teleop/models/rm75_omnipicker/urdf/RM75-B_OmniPicker_fixed.urdf`
- Create: `xr_rm_teleop/models/rm75_omnipicker/meshes/rm75/*.STL`
- Create: `xr_rm_teleop/models/rm75_omnipicker/meshes/omnipicker/*.STL`
- Modify: `xr_rm_teleop/setup.py`
- Modify: `xr_rm_teleop/xr_rm_teleop/placo_ik_solver.py`
- Modify: `xr_rm_teleop/xr_rm_teleop/single_arm_velocity_teleop.py`
- Modify: `xr_rm_teleop/test/test_orientation_control.py`
- Modify: `xr_rm_teleop/test/test_placo_transforms.py`
- Modify: `xr_rm_teleop/test/test_joint_control.py`
- Modify: `xr_rm_teleop/test/placo_ik_smoke.py`
- Modify: `xr_rm_bringup/launch/arm_debug.launch.py`
- Modify: `xr_rm_bringup/config/left_arm_rm75.yaml`
- Modify: `xr_rm_bringup/config/right_arm_rm75.yaml`
- Modify: `xr_rm_bringup/config/dual_arm_rm75.yaml`
- Modify: `README.md`
不删除旧 `xr_rm_teleop/models/rm75` 资源,只让 launch 停止选用它,避免扩大无关清理范围。
### Task 1: 导入 fixed 一体化模型并定义 TCP
**Files:**
- Create: `xr_rm_teleop/models/rm75_omnipicker/urdf/RM75-B_OmniPicker_fixed.urdf`
- Create: `xr_rm_teleop/models/rm75_omnipicker/meshes/rm75/*.STL`
- Create: `xr_rm_teleop/models/rm75_omnipicker/meshes/omnipicker/*.STL`
- Modify: `xr_rm_teleop/setup.py`
- Modify: `xr_rm_teleop/test/test_placo_transforms.py`
- [x] **Step 1: 先写模型结构失败测试**
`test_placo_transforms.py` 中用 `xml.etree.ElementTree` 读取 fixed URDF,断言:
```python
assert moving_joint_names == [f"joint_{index}" for index in range(1, 8)]
assert tcp_joint.attrib["type"] == "fixed"
assert tcp_joint.find("parent").attrib["link"] == "omnipicker_base_link"
assert tcp_joint.find("child").attrib["link"] == "omnipicker_tcp"
assert tcp_joint.find("origin").attrib["xyz"] == "0 0 0.16"
assert tcp_joint.find("origin").attrib["rpy"] == "0 0 0"
```
运行:
```bash
cd /home/robot/WS_xr
source /opt/ros/humble/setup.bash
PYTHONPATH=src/xr_rm_teleop pytest -q \
src/xr_rm_teleop/test/test_placo_transforms.py
```
Expected: FAIL,模型包尚不存在。
- [x] **Step 2: 从上传 ZIP 只导入运行所需资源**
`/home/robot/下载/Models/RM75-B_OmniPicker_Pinocchio.zip`
导入 fixed URDF 和两组 mesh 到
`xr_rm_teleop/models/rm75_omnipicker`;不导入独立描述包元数据、示例脚本、
活动式 URDF 或额外验证文档。保留上传模型的几何、惯量、关节限制和 fixed
OmniPicker 关节,并在 `xr_rm_teleop/setup.py` 中安装这些资源。
- [x] **Step 3: 在 fixed URDF 增加已确认的 TCP**
```xml
<link name="omnipicker_tcp"/>
<joint name="omnipicker_tcp_joint" type="fixed">
<parent link="omnipicker_base_link"/>
<child link="omnipicker_tcp"/>
<origin xyz="0 0 0.16" rpy="0 0 0"/>
</joint>
```
- [x] **Step 4: 重跑模型测试**
Expected: PASS;运动关节仍严格为 `joint_1``joint_7`TCP 偏移为
`+Z 0.16 m`
### Task 2: 让 Placo 直接接收 SE(3) 并约束 `omnipicker_tcp`
**Files:**
- Modify: `xr_rm_teleop/xr_rm_teleop/placo_ik_solver.py`
- Modify: `xr_rm_teleop/test/test_placo_transforms.py`
- Modify: `xr_rm_teleop/test/placo_ik_smoke.py`
- [x] **Step 1: 先把变换和 smoke 测试改为矩阵接口**
测试改为:
```python
current = solver.update_joint_state(joints)
assert current.shape == (4, 4)
target = current.copy()
target[0, 3] += 0.01
target[:3, :3] = rotation_delta @ target[:3, :3]
joints = solver.solve(target)
```
同时覆盖非法形状、NaN 和非 SE(3) 最后一行会被拒绝。smoke 使用
`dt=1/125`,以旋转矩阵相对角度计算姿态误差,不再转换 RPY。
运行现有两项测试,确认它们先因旧 `ArmPose/tool_pose` 接口失败。
- [x] **Step 2: 最小化求解器接口**
将构造函数改为:
```python
PlacoIkSolver(urdf_path: str, dt: float)
```
并完成以下替换:
- 删除 `_rpy_to_rotation``_rotation_to_rpy``_arm_pose_to_transform`
`_transform_to_arm_pose``_tool_pose_to_transform`
- 删除 `_tool_transform``_tool_inverse`
- frame task 从 `link_7` 改为 `omnipicker_tcp`
- 可操作度任务继续作用于原来的 `link_7`,并保留原权重
`soft, 5e-2`
- `update_joint_state()` 直接返回
`get_T_world_frame("omnipicker_tcp").copy()`
- `solve()` 校验并直接设置传入的 `4×4` 目标矩阵。
- frame task、动能正则、虚拟基座固定、关节位置/速度校验保持原状。
- [x] **Step 3: 运行纯单元测试**
```bash
PYTHONPATH=src/xr_rm_teleop pytest -q \
src/xr_rm_teleop/test/test_placo_transforms.py
```
Expected: PASS。该命令不构造 Placo,不要求系统 Python 安装厂商 SDK。
### Task 3: 用 SO(3) 最短路径替换 RPY 姿态控制
**Files:**
- Modify: `xr_rm_teleop/test/test_orientation_control.py`
- Modify: `xr_rm_teleop/xr_rm_teleop/single_arm_velocity_teleop.py`
- [x] **Step 1: 先写 SO(3) 回归测试**
保留零四元数停止测试,并增加以下最小覆盖:
- `q``-q` 得到同一旋转矩阵。
- 初始 pitch 接近 `+90°``-90°` 时,小手柄旋转只产生同量级的小旋转。
- 跨过旧 RPY 分支时,相对旋转仍取最短路径。
- 死区按 `norm(Log(R_target R_currentᵀ))` 判断。
- `alpha=0.5` 时 SO(3) 误差角减半。
- `dt=1/125``max_orientation_speed=0.5` 时单步不超过 `0.004 rad`
- 关闭某姿态轴时,在机器人基坐标系将对应旋转向量分量清零。
- 矩阵转调试四元数后有限且单位化。
运行:
```bash
PYTHONPATH=src/xr_rm_teleop pytest -q \
src/xr_rm_teleop/test/test_orientation_control.py
```
Expected: FAIL,旧代码仍返回和处理 RPY。
- [x] **Step 2: 实现最少的 NumPy SO(3) 运算**
在现有遥操作模块中加入并只加入实际调用的函数:
```text
quaternion -> rotation matrix
rotation matrix -> normalized quaternion
Log_SO3(rotation) -> 3D rotation vector
Exp_SO3(rotation vector) -> rotation matrix
position + rotation -> 4×4 transform
```
输入必须有限。近似旋转矩阵仅在
`norm(RᵀR-I) <= 1e-3` 且行列式为正时用 SVD 投影;明显无效输入抛出
`ValueError``Log_SO3` 在接近 `π` 时仍返回最短的有限旋转向量。
- [x] **Step 3: 替换姿态目标、滤波和限速**
控制路径统一为:
```python
R_xr_delta = R_xr_now @ R_xr_start.T
R_robot_delta = mapping @ R_xr_delta @ mapping.T
axis_delta = log_so3(R_robot_delta)
axis_delta[disabled_axes] = 0.0
R_raw = exp_so3(axis_delta) @ R_robot_start
error = log_so3(R_target @ R_current.T)
R_next = exp_so3(scale * error) @ R_current
```
继续分别保存平移列表和旋转矩阵状态,但构造 QP 目标与调试目标时合成为
`4×4` 矩阵。删除控制路径中的 `_matrix_to_euler`
`_quaternion_to_euler`、分量 `_angle_delta` 及 RPY
死区/滤波/限速;位置死区、滤波、工作空间和圆柱限位原样保留。
- [x] **Step 4: 重跑姿态测试**
Expected: PASS。
### Task 4: 把节点状态、QP 和调试话题贯通为 SE(3)
**Files:**
- Modify: `xr_rm_teleop/xr_rm_teleop/single_arm_velocity_teleop.py`
- Modify: `xr_rm_teleop/test/test_joint_control.py`
- [x] **Step 1: 先将关节控制测试改为 `4×4` 矩阵**
Fake solver 的 `update_joint_state()` 返回有限齐次矩阵;QP
成功、失败和首帧反馈测试均断言矩阵接口。运行测试,确认旧类型假设失败。
- [x] **Step 2: 完成节点矩阵状态迁移**
- `_robot_start_pose``_last_current_pose` 和调试 fallback 改存 `4×4`
矩阵。
- `PlacoIkSolver` 初始化不再接收
`self._peripheral_config.tool_pose`;外设配置仍只传给
`RealManAdapter.configure_peripheral()`
- 原始目标与发送目标均合成为 `omnipicker_tcp` 的 SE(3)。
- `TwistStamped.angular` 使用
`Log(R_sent R_previousᵀ) / dt`,表达在 `rm_base`
- `PoseStamped` 只在发布边界把旋转矩阵转四元数。
- QP 异常继续返回 last-known-good;Grip 松开、超时、反馈错误和发送错误继续
走现有慢停与状态重置。
- [x] **Step 3: 运行相关单元测试**
```bash
PYTHONPATH=src/xr_rm_teleop pytest -q \
src/xr_rm_teleop/test/test_orientation_control.py \
src/xr_rm_teleop/test/test_joint_control.py \
src/xr_rm_teleop/test/test_placo_transforms.py \
src/xr_rm_teleop/test/test_initial_joint_pose.py
```
Expected: PASS。
### Task 5: 切换 launch 模型并同步已确认参数
**Files:**
- Modify: `xr_rm_bringup/launch/arm_debug.launch.py`
- Modify: `xr_rm_bringup/config/left_arm_rm75.yaml`
- Modify: `xr_rm_bringup/config/right_arm_rm75.yaml`
- Modify: `xr_rm_bringup/config/dual_arm_rm75.yaml`
- Modify: `xr_rm_teleop/setup.py`
- Modify: `xr_rm_teleop/xr_rm_teleop/single_arm_velocity_teleop.py`
- Modify: `README.md`
- [x] **Step 1: 修改模型来源**
`_rm75_urdf()` 改为:
```python
PathJoinSubstitution([
FindPackageShare("xr_rm_teleop"),
"models",
"rm75_omnipicker",
"urdf",
"RM75-B_OmniPicker_fixed.urdf",
])
```
并让 `xr_rm_teleop/setup.py` 安装该目录下的 fixed URDF 和两组 mesh。
- [x] **Step 2: 只修改已确认参数**
节点默认值、launch 默认值和三份 YAML 对应项同步:
```yaml
control_rate_hz: 125.0
orientation_deadband_rad: 0.005
orientation_filter_alpha: 0.65
max_orientation_speed: 0.5
follow: false
```
其中右臂 YAML 的
`move_to_initial_pose_on_connect: True`
改为 `false`。不修改任何工作空间、圆柱、线速度、关节速度、初始角、
`avoid_singularity`、安全配置或外设配置。
- [x] **Step 3: 更新 README 中已失真的运行说明**
只更新:
- 默认控制频率 `90.0 -> 125.0`
- QP 模型改为一体化 fixed URDF,并直接控制 `omnipicker_tcp`
- 姿态死区、滤波和限速使用 SO(3) 最短路径,不使用 RPY。
- `peripherals_rm75.yaml` 仍只用于真实控制器工具坐标、负载和外设选择,不再
参与 Placo TCP 矩阵换算。
### Task 6: 构建、数值 smoke 与 mock 启动验证
**Files:**
- Modify: `xr_rm_teleop/test/placo_ik_smoke.py`
- [x] **Step 1: 构建整个工作空间**
```bash
cd /home/robot/WS_xr
source /opt/ros/humble/setup.bash
colcon build --symlink-install
```
Expected: `xr_rm_teleop``xr_rm_bringup` 构建成功。
- [x] **Step 2: 运行指定姿态测试和相关回归测试**
```bash
source /opt/ros/humble/setup.bash
PYTHONPATH=src/xr_rm_teleop pytest -q \
src/xr_rm_teleop/test/test_orientation_control.py
PYTHONPATH=src/xr_rm_teleop pytest -q \
src/xr_rm_teleop/test/test_joint_control.py \
src/xr_rm_teleop/test/test_placo_transforms.py \
src/xr_rm_teleop/test/test_initial_joint_pose.py
```
Expected: PASS。
- [x] **Step 3: 使用固定 XR Python 运行 Placo 数值 smoke**
```bash
source install/setup.bash
/home/robot/miniconda3/envs/xr/bin/python \
src/xr_rm_teleop/test/placo_ik_smoke.py \
install/xr_rm_teleop/share/xr_rm_teleop/models/rm75_omnipicker/urdf/RM75-B_OmniPicker_fixed.urdf
```
对左右初始关节姿态分别验证:
- 七个运动关节及顺序正确。
- `omnipicker_tcp` 相对 `link_7``[0, 0, 0.16]`、单位旋转。
- QP 输出七个有限关节角并满足位置与单周期速度限制。
- 目标停止两秒时打印最大关节变化,但不把漂移设为失败条件。
- 运动目标最终 TCP 位置误差 `<= 5 mm`,姿态误差 `<= 2°`
- 打印平均/最大求解耗时及超过 `8 ms` 周期预算的次数,只记录、不设机器相关
的硬失败阈值。
- [x] **Step 4: 只启动 mock**
分别短时启动:
```bash
source /opt/ros/humble/setup.bash
source install/setup.bash
ros2 launch xr_rm_bringup arm_debug.launch.py arm:=left use_mock:=true
ros2 launch xr_rm_bringup arm_debug.launch.py arm:=right use_mock:=true
ros2 launch xr_rm_bringup arm_debug.launch.py arm:=both use_mock:=true
```
确认 fixed URDF、Placo 和左右节点名加载成功,无 RealMan SDK 导入或网络连接。
由人工结束 mock launchCodex 不执行任何 `use_mock:=false` 命令。
- [x] **Step 5: 最终范围检查**
```bash
git diff --check
git status --short
git diff -- \
src/xr_rm_teleop \
src/xr_rm_bringup \
src/README.md \
src/docs/superpowers
```
确认 `peripherals_rm75.yaml``avoid_singularity`、可操作度权重和所有既有安全
限制未被改变。
@@ -0,0 +1,30 @@
# RM75 控制周期统计设计
## 目标
在不改变控制、QP、安全停止和真机通信行为的前提下,确认激活遥操作时的
125 Hz 控制链路是否满足 `8 ms` 周期。
## 方案
`SingleArmVelocityTeleop` 内使用 `time.perf_counter_ns()` 采样,仅在
Grip 激活并执行关节命令的周期记录:
- 相邻控制回调的实际周期;
- 控制回调总执行时间;
- Placo QP 求解时间;
- `send_joint_target()` 调用时间;
- 当前关节反馈年龄。
每累计约 5 秒激活样本,通过现有 ROS logger 输出一次汇总并清空窗口。每项
输出样本数、mean、P95、P99 和 max;实际周期与总执行时间额外输出超过
`self._dt` 的次数。首个激活周期没有可靠的相邻周期值,因此不记录周期。
统计只输出日志,不新增 ROS 消息、话题、参数、依赖或后台线程。计时与日志
异常不得影响控制路径。
## 验证
先添加一个小单元测试,使用确定性样本验证百分位数、超限计数、日志输出和
窗口清空。随后运行相关 pytest、姿态控制测试和
`colcon build --symlink-install`
@@ -0,0 +1,241 @@
# RM75 SO(3) 姿态跟随与 OmniPicker 一体化模型设计
日期:2026-07-28
状态:已确认
## 1. 背景与目标
当前遥操作链路已经使用 Placo QP 将 TCP 目标转换为 RM75 七关节目标,但姿态目标在进入 QP 前会转换为 RPY,并按三个欧拉角分量进行滤波和限速。RM75 当前姿态接近俯仰角 `±90°` 时,同一个物理姿态可能切换到另一组等价 RPY,导致控制器把很小的手柄旋转解释为大角度路径,出现机械臂绕行和跟随时间过长。
本设计是
`2026-07-27-rm75-placo-qp-ik-design.md`
的增量修改;它覆盖旧设计中的模型、TCP 变换、姿态表示、控制频率和相关验收
内容。现有的关节反馈、单步 QP、`rm_movej_canfd`、last-known-good 和停止链路
继续保留。
本次修改的目标是:
1. 姿态控制全程使用旋转矩阵和 SE(3),按 SO(3) 最短旋转路径滤波和限速。
2. 左右臂统一使用用户提供的 `RM75-B_OmniPicker_fixed.urdf`
3. 在 URDF 内定义 `omnipicker_tcp`,取消 Placo 中重复的运行时末端变换。
4. 首轮真机测试继续使用低跟随,将控制频率设为 `125 Hz`TCP 目标角速度上限统一为 `0.5 rad/s`
5. 保留现有工作空间、圆柱、关节速度、指令超时和安全停止行为。
## 2. 本次不处理的内容
- 不开启高跟随,`follow` 继续为 `false`
- 不改变现有 Wi-Fi/有线混合网络拓扑。
- 不新增高跟随周期看门狗。
- 不修改 `avoid_singularity`,不新增奇异点检测或降速策略。
- 首轮不删除或调整现有可操作度优化任务。
- 不修改 `peripherals_rm75.yaml` 中的夹爪选择、工具位姿或负载。
- 不新增 ROS2 节点、消息、求解器工厂或第三方依赖。
- Codex 不连接或移动真实机械臂和夹爪。
## 3. 姿态数据模型
控制路径中的机器人位姿统一为有限的 `4×4` NumPy SE(3) 矩阵:
```text
T = [ R p ]
[ 0 1 ]
```
其中 `R``3×3` 旋转矩阵,`p` 为 TCP 在机器人基坐标系下的位置。Placo 正解直接返回该矩阵,QP 目标也直接接收该矩阵。现有仅保存 `x/y/z/rx/ry/rz``ArmPose` 不再作为控制路径接口,避免在遥操作节点与 Placo 之间发生 RPY 往返转换。
ROS 调试边界按消息类型转换:
- `PoseStamped`:旋转矩阵转换为四元数后发布。
- `TwistStamped.angular`:发布相邻两个目标旋转之间、在机器人基坐标系表达的 SO(3) 旋转向量速度。
## 4. XR 姿态到机器人姿态
Grip 按下时保存 XR 初始四元数和当前 `omnipicker_tcp` 初始旋转矩阵。每周期计算:
```text
R_xr_delta = R_xr_now * transpose(R_xr_start)
R_robot_delta = M * R_xr_delta * transpose(M)
R_raw_target = R_robot_delta * R_robot_start
```
`M` 为现有 `xr_to_robot_matrix`,其左右臂映射保持不变。`enable_orientation_axes` 继续保留;被关闭的机器人基坐标轴通过将对应 SO(3) 相对旋转向量分量置零实现,不再通过拼接 RPY 分量实现。
姿态处理统一使用基坐标系下的左乘增量:
```text
R_error = R_target * transpose(R_current)
r = Log(R_error)
R_next = Exp(scale * r) * R_current
```
处理顺序为:
1.`norm(Log(R_target * R_lastᵀ))` 判断 `orientation_deadband_rad`
2.`orientation_filter_alpha` 缩放从滤波状态到目标的最短旋转向量。
3. 将从上一发送姿态到滤波姿态的旋转角限制在
`max_orientation_speed / control_rate_hz` 以内。
4. 将限速后的旋转和已通过现有工作空间限制的位置合成为 SE(3)。
该路径不使用 RPY 展开、分量插值或分量限速。相对旋转接近 `π` 时也必须选择物理最短路径;四元数 `q``-q` 必须得到相同目标。
位姿误差采用与 Placo `FrameTask` 一致的解耦 `3+3` 形式:
```text
e_position = p_target - p_current
e_orientation = Log(R_target * transpose(R_current))
e_pose = [e_position; e_orientation]
```
其中 `e_pose` 可视为六维任务误差,但不是
`Log_SE3(T_target * inverse(T_current))`。本次不引入完整 SE(3) 对数映射中的
平移—旋转耦合。
## 5. URDF 与 TCP
用户上传的
`/home/robot/下载/Models/RM75-B_OmniPicker_Pinocchio.zip`
作为模型来源。将 fixed URDF 和被引用的 RM75、OmniPicker mesh 放入
`xr_rm_teleop/models/rm75_omnipicker`,由现有 `xr_rm_teleop` 包安装。
`RM75-B_OmniPicker_fixed.urdf` 中增加:
```xml
<link name="omnipicker_tcp"/>
<joint name="omnipicker_tcp_joint" type="fixed">
<parent link="omnipicker_base_link"/>
<child link="omnipicker_tcp"/>
<origin xyz="0 0 0.16" rpy="0 0 0"/>
</joint>
```
该变换表示 TCP 相对 RM75 法兰坐标系沿 `+Z` 方向平移 `0.16 m`、坐标轴方向不变。上传模型中 `rm75_flange``omnipicker_base_link` 为零固定变换,因此上述定义与已确认的法兰到 TCP 变换一致。
`arm_debug.launch.py` 的左臂、右臂和双臂节点统一加载这一份 fixed URDF。模型仍只有 `joint_1``joint_7` 七个运动关节,OmniPicker 关节均保持 fixed。
## 6. Placo QP
`PlacoIkSolver` 改为:
```text
构造参数:URDF 路径、dt
当前位姿:get_T_world_frame("omnipicker_tcp")
目标任务:add_frame_task("omnipicker_tcp", target_se3)
```
删除仅供 Placo 使用的 `tool_pose` 构造参数、`_tool_transform`
`_tool_inverse` 和对应的法兰/TCP换算函数。`peripherals_rm75.yaml` 保持原状,
仍供 `RealManAdapter` 配置真实控制器的工具坐标、负载和末端外设;其中的
`pose` 不再传入 Placo,因此不会在 QP 中重复叠加末端偏移。
QP 配置首轮保持:
```text
frame task: soft, 1.0
manipulability task: soft, 5e-2
kinetic energy regularizer: 1e-6
```
可操作度任务已知会造成目标静止时的关节姿态变化,但按用户决定本轮保留,
待确认 RPY 绕行消失后再单独评估。关节位置和单周期速度校验继续使用 URDF
限制,固定虚拟基座和 `q[7:14]` 的七关节映射保持不变。
## 7. 参数与启动行为
以下配置在 `left_arm_rm75.yaml``right_arm_rm75.yaml`
`dual_arm_rm75.yaml` 对应节点中同步:
```yaml
control_rate_hz: 125.0
orientation_deadband_rad: 0.005
orientation_filter_alpha: 0.65
max_orientation_speed: 0.5
follow: false
```
`arm_debug.launch.py``control_rate_hz` 默认值同步为 `125.0``follow`
默认值继续为 `false``single_arm_velocity_teleop` 内部参数默认值同步,
避免绕过 YAML 启动时回到旧频率或旧角速度。
`right_arm_rm75.yaml``move_to_initial_pose_on_connect``True` 改为
`false`,与左臂、双臂以及 launch 默认安全行为一致。其他左右臂空间范围、
线速度、关节速度、加速度、初始关节角和外设配置不变。
## 8. 异常与停止
现有异常策略保持:
- 非法 XR 四元数、Grip 松开、XR 超时、关节反馈过期或通信失败时执行现有慢停止并重置激活状态。
- QP 失败或输出违反关节位置/速度限制时继续使用上一组有效关节目标。
- 第一次有效关节反馈前不发送运动命令。
- `configure_safety_limits` 保持启用。
- Mock 模式不导入睿尔曼 SDK。
新增 SO(3) 运算必须拒绝非有限矩阵和零四元数。旋转矩阵若满足
`norm(RᵀR-I) <= 1e-3` 且行列式为正,则使用 `3×3` SVD 投影到最近的合法旋转;
超出该范围时停止输出,不能把明显无效的输入静默修正成运动目标。
## 9. 验证
### 9.1 自动测试
扩展 `test_orientation_control.py`,至少覆盖:
- 初始姿态俯仰接近 `+90°``-90°` 时,小手柄旋转仍产生相同量级的最短物理旋转。
- 目标跨越原 RPY 表示分支时,不产生接近 `π` 的错误路径。
- `q``-q` 产生相同旋转矩阵。
- SO(3) 死区使用整体旋转角。
- 每周期姿态步长不超过 `0.5 / 125 rad`
- SO(3) 滤波沿最短路径收敛。
- 调试四元数有限且归一化。
更新 Placo 变换测试和 smoke test,验证:
- fixed URDF 可加载,运动关节仍严格为七个且顺序正确。
- `omnipicker_tcp` 相对法兰的变换为 `[0, 0, 0.16]` 和单位旋转。
- 当前/原始目标/发送目标均表示 `omnipicker_tcp`
- 一次 QP 输出七个有限关节角并满足位置与单周期速度限制。
- 目标静止两秒时记录左右臂最大关节变化,但本轮不以 `≤0.5°` 作为通过条件。
- 目标停止后 TCP 位置误差不超过 `5 mm`、姿态误差不超过 `2°`
### 9.2 命令
所有命令从 `/home/robot/WS_xr` 执行:
```bash
source /opt/ros/humble/setup.bash
PYTHONPATH=src/xr_rm_teleop pytest -q \
src/xr_rm_teleop/test/test_orientation_control.py
source /opt/ros/humble/setup.bash
colcon build --symlink-install
source /opt/ros/humble/setup.bash
source install/setup.bash
ros2 launch xr_rm_bringup arm_debug.launch.py arm:=left use_mock:=true
ros2 launch xr_rm_bringup arm_debug.launch.py arm:=right use_mock:=true
```
Placo smoke test继续使用已验证的
`/home/robot/miniconda3/envs/xr/bin/python`,周期改为 `1/125 s`
### 9.3 真机人工验收
Codex 只提供步骤,不执行真机操作。用户应分别测试左右臂:
1. 确认急停可用、周围无障碍物且 `move_to_initial_pose_on_connect=false`
2. 先保持手柄和目标姿态不变,记录 TCP 与关节变化。
3. 仅改变手柄姿态,重点跨越原俯仰 `±90°` 附近的 RPY 分支。
4. 确认 TCP 以最短物理旋转跟随,没有绕一大圈。
5. 确认 `omnipicker_tcp` 位置保持在允许误差内。
## 10. 完成标准
1. 控制路径中的目标生成、滤波、限速和 QP 接口不再使用 RPY。
2. 左右臂都由同一 fixed URDF 的 `omnipicker_tcp` 作为控制帧。
3. Placo 不再使用 `peripherals_rm75.yaml` 的工具位姿进行矩阵换算。
4. 可操作度任务保持现状,漂移数据被记录但不作为首轮阻断项。
5. 三份配置使用 `125 Hz``0.5 rad/s` 和低跟随。
6. 右臂连接时不再自动移动到初始关节姿态。
7. 指定测试、构建和左右臂 mock 启动验证通过。
8. 未改变工作空间、圆柱、关节限制、指令超时、安全停止或奇异点设置。
+4 -4
View File
@@ -11,7 +11,7 @@ left_arm_teleop:
ros__parameters:
arm_name: left_rm75
controller_topic: /xr/left_controller
control_rate_hz: 90.0
control_rate_hz: 125.0
command_timeout_sec: 0.12
# 位姿目标生成与平滑参数。
@@ -26,7 +26,7 @@ left_arm_teleop:
enable_orientation_axes: [true, true, true]
orientation_deadband_rad: 0.005
orientation_filter_alpha: 0.65
max_orientation_speed: 0.6
max_orientation_speed: 0.5
workspace_min: [-0.70, -0.60, 0.10]
workspace_max: [0.70, 0.40, 0.70]
cyl_radius_limit: [0.20, 0.60]
@@ -62,7 +62,7 @@ right_arm_teleop:
ros__parameters:
arm_name: right_rm75
controller_topic: /xr/right_controller
control_rate_hz: 90.0
control_rate_hz: 125.0
command_timeout_sec: 0.12
scale: 0.75
@@ -76,7 +76,7 @@ right_arm_teleop:
enable_orientation_axes: [true, true, true]
orientation_deadband_rad: 0.005
orientation_filter_alpha: 0.65
max_orientation_speed: 0.6
max_orientation_speed: 0.5
workspace_min: [-0.70, -0.60, 0.10]
workspace_max: [0.70, 0.40, 0.70]
cyl_radius_limit: [0.20, 0.60]
+2 -2
View File
@@ -5,7 +5,7 @@ single_arm_velocity_teleop:
ros__parameters:
arm_name: left_rm75
controller_topic: /xr/left_controller
control_rate_hz: 90.0
control_rate_hz: 125.0
command_timeout_sec: 0.12
# 手柄相对位姿 -> 目标 TCP 位姿;随后做目标低通、姿态低通和单帧步长限制。
@@ -20,7 +20,7 @@ single_arm_velocity_teleop:
enable_orientation_axes: [true, true, true]
orientation_deadband_rad: 0.005
orientation_filter_alpha: 0.65
max_orientation_speed: 0.6
max_orientation_speed: 0.5
workspace_min: [-0.70, -0.60, 0.10]
workspace_max: [0.70, 0.40, 0.70]
cyl_radius_limit: [0.20, 0.60]
+6 -6
View File
@@ -5,7 +5,7 @@ single_arm_velocity_teleop:
ros__parameters:
arm_name: right_rm75
controller_topic: /xr/right_controller
control_rate_hz: 90.0
control_rate_hz: 125.0
command_timeout_sec: 0.12
scale: 0.7
@@ -20,9 +20,9 @@ single_arm_velocity_teleop:
orientation_deadband_rad: 0.005
orientation_filter_alpha: 0.65
max_orientation_speed: 0.5
workspace_min: [-0.60, -0.60, 0.10]
workspace_max: [0.60, 0.70, 0.55]
cyl_radius_limit: [0.10, 0.70]
workspace_min: [-0.70, -0.70, 0.10]
workspace_max: [0.70, 0.70, 0.75]
cyl_radius_limit: [0.10, 0.80]
low_z_threshold: 0.1
low_z_min_radius: 0.1
@@ -35,7 +35,7 @@ single_arm_velocity_teleop:
robot_ip: 192.168.192.19
robot_port: 8080
avoid_singularity: 1
follow: false
follow: False
canfd_trajectory_mode: 2
canfd_radio: 0
configure_safety_limits: true
@@ -45,7 +45,7 @@ single_arm_velocity_teleop:
max_angular_acc: 3.0
joint_max_speed: 180.0
joint_max_acc: 300.0
move_to_initial_pose_on_connect: True
move_to_initial_pose_on_connect: false
initial_joint_pose: [-90.14, 3.76, -86.89, 87.89, -96.53, -79.62, -90.04]
init_move_speed: 20
debug_topic_prefix: /xr_rm
+4 -3
View File
@@ -35,8 +35,9 @@ def _rm75_urdf() -> PathJoinSubstitution:
return PathJoinSubstitution([
FindPackageShare("xr_rm_teleop"),
"models",
"rm75",
"RM75-B.urdf",
"rm75_omnipicker",
"urdf",
"RM75-B_OmniPicker_fixed.urdf",
])
@@ -286,7 +287,7 @@ def generate_launch_description() -> LaunchDescription:
# 非空时作为左右臂全局覆盖,例如 avoid_singularity:=0。
DeclareLaunchArgument("avoid_singularity", default_value=""),
# 每周期同步一次实际关节反馈、执行一次 Placo QP,再发送 rm_movej_canfd。
DeclareLaunchArgument("control_rate_hz", default_value="90.0"),
DeclareLaunchArgument("control_rate_hz", default_value="125.0"),
# 默认低跟随;高跟随请确认控制器和网络能稳定满足厂商周期要求后再打开。
DeclareLaunchArgument("follow", default_value="false"),
DeclareLaunchArgument("configure_safety_limits", default_value="true"),
@@ -0,0 +1,503 @@
<?xml version='1.0' encoding='UTF-8'?>
<robot name="RM75_B_OmniPicker_fixed">
<link name="base_link">
<inertial>
<origin xyz="0.00049987 5.2709E-05 0.060019" rpy="0 0 0"/>
<mass value="1.862"/>
<inertia ixx="0.0017232" ixy="-3.1058E-06" ixz="-3.7924E-05" iyy="0.0017051" iyz="1.3691E-06" izz="0.00090158"/>
</inertial>
<visual>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/rm75/base_link.STL"/>
</geometry>
<material name="">
<color rgba="1 1 1 1"/>
</material>
</visual>
<collision>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/rm75/base_link.STL"/>
</geometry>
</collision>
</link>
<link name="link_1">
<inertial>
<origin xyz="0.000241 -0.013273 -0.00995" rpy="0 0 0"/>
<mass value="1.574"/>
<inertia ixx="0.002487573" ixy="0.000009663" ixz="-0.000007909" iyy="0.002321038" iyz="0.000179393" izz="0.001450554"/>
</inertial>
<visual>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/rm75/link_1.STL"/>
</geometry>
<material name="">
<color rgba="1 1 1 1"/>
</material>
</visual>
<collision>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/rm75/link_1.STL"/>
</geometry>
</collision>
</link>
<joint name="joint_1" type="revolute">
<origin xyz="0 0 0.2405" rpy="0 0 0"/>
<parent link="base_link"/>
<child link="link_1"/>
<axis xyz="0 0 1"/>
<limit lower="-3.106" upper="3.106" effort="60" velocity="3.14"/>
</joint>
<link name="link_2">
<inertial>
<origin xyz="-0.000357 -0.106789 0.005329" rpy="0 0 0"/>
<mass value="1.217"/>
<inertia ixx="0.003494121" ixy="0.000002921" ixz="-0.000005613" iyy="0.000892721" iyz="-0.000583884" izz="0.003444080"/>
</inertial>
<visual>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/rm75/link_2.STL"/>
</geometry>
<material name="">
<color rgba="1 1 1 1"/>
</material>
</visual>
<collision>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/rm75/link_2.STL"/>
</geometry>
</collision>
</link>
<joint name="joint_2" type="revolute">
<origin xyz="0 0 0" rpy="-1.5708 0 0"/>
<parent link="link_1"/>
<child link="link_2"/>
<axis xyz="0 0 1"/>
<limit lower="-2.2689" upper="2.2689" effort="60" velocity="3.14"/>
</joint>
<link name="link_3">
<inertial>
<origin xyz="0.000003 -0.01398 -0.011324" rpy="0 0 0"/>
<mass value="1.11"/>
<inertia ixx="0.001836663" ixy="0.000002259" ixz="-0.000004216" iyy="0.001498875" iyz="0.000037167" izz="0.001062545"/>
</inertial>
<visual>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/rm75/link_3.STL"/>
</geometry>
<material name="">
<color rgba="1 1 1 1"/>
</material>
</visual>
<collision>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/rm75/link_3.STL"/>
</geometry>
</collision>
</link>
<joint name="joint_3" type="revolute">
<origin xyz="0 -0.256 0" rpy="1.5708 0 0"/>
<parent link="link_2"/>
<child link="link_3"/>
<axis xyz="0 0 1"/>
<limit lower="-3.106" upper="3.106" effort="30" velocity="3.14"/>
</joint>
<link name="link_4">
<inertial>
<origin xyz="-0.000005 -0.084658 0.004747" rpy="0 0 0"/>
<mass value="0.685"/>
<inertia ixx="0.001282444" ixy="-0.000000551" ixz="-0.000000630" iyy="0.000373013" iyz="-0.000232084" izz="0.001256177"/>
</inertial>
<visual>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/rm75/link_4.STL"/>
</geometry>
<material name="">
<color rgba="1 1 1 1"/>
</material>
</visual>
<collision>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/rm75/link_4.STL"/>
</geometry>
</collision>
</link>
<joint name="joint_4" type="revolute">
<origin xyz="0 0 0" rpy="-1.5708 0 0"/>
<parent link="link_3"/>
<child link="link_4"/>
<axis xyz="0 0 1"/>
<limit lower="-2.356" upper="2.356" effort="30" velocity="3.14"/>
</joint>
<link name="link_5">
<inertial>
<origin xyz="0.000078 -0.012937 -0.008781" rpy="0 0 0"/>
<mass value="0.619"/>
<inertia ixx="0.000627336" ixy="0.000001636" ixz="-0.000001345" iyy="0.000542455" iyz="0.000034970" izz="0.000370291"/>
</inertial>
<visual>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/rm75/link_5.STL"/>
</geometry>
<material name="">
<color rgba="1 1 1 1"/>
</material>
</visual>
<collision>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/rm75/link_5.STL"/>
</geometry>
</collision>
</link>
<joint name="joint_5" type="revolute">
<origin xyz="0 -0.21 0" rpy="1.5708 0 0"/>
<parent link="link_4"/>
<child link="link_5"/>
<axis xyz="0 0 1"/>
<limit lower="-3.106" upper="3.106" effort="10" velocity="3.14"/>
</joint>
<link name="link_6">
<inertial>
<origin xyz="-0.000014 -0.078524 0.002819" rpy="0 0 0"/>
<mass value="0.602"/>
<inertia ixx="0.000780774" ixy="-0.000000121" ixz="-0.000000469" iyy="0.000289973" iyz="-0.000120513" izz="0.000763955"/>
</inertial>
<visual>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/rm75/link_6.STL"/>
</geometry>
<material name="">
<color rgba="1 1 1 1"/>
</material>
</visual>
<collision>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/rm75/link_6.STL"/>
</geometry>
</collision>
</link>
<joint name="joint_6" type="revolute">
<origin xyz="0 0 0" rpy="-1.5708 0 0"/>
<parent link="link_5"/>
<child link="link_6"/>
<axis xyz="0 0 1"/>
<limit lower="-2.234" upper="2.234" effort="10" velocity="3.14"/>
</joint>
<link name="link_7">
<inertial>
<origin xyz="0.001094 -0.000077 -0.010119" rpy="0 0 0"/>
<mass value="0.107"/>
<inertia ixx="0.000044123" ixy="-0.000000064" ixz="0.0000003" iyy="0.000035078" iyz="-0.000000029" izz="0.000065445"/>
</inertial>
<visual>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/rm75/link_7.STL"/>
</geometry>
<material name="">
<color rgba="1 1 1 1"/>
</material>
</visual>
<collision>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/rm75/link_7.STL"/>
</geometry>
</collision>
</link>
<joint name="joint_7" type="revolute">
<origin xyz="0 -0.144 0" rpy="1.5708 0 0"/>
<parent link="link_6"/>
<child link="link_7"/>
<axis xyz="0 0 1"/>
<limit lower="-6.28" upper="6.28" effort="10" velocity="3.14"/>
</joint>
<!-- RM75 end-flange alias. link_7 is treated as the tool mounting frame. -->
<link name="rm75_flange"/>
<joint name="rm75_link7_to_flange" type="fixed">
<origin xyz="0 0 0" rpy="0 0 0"/>
<parent link="link_7"/>
<child link="rm75_flange"/>
</joint>
<!-- OmniPicker mounting transform. Adjust xyz/rpy here if an adapter plate or different clocking is used. -->
<joint name="rm75_flange_to_omnipicker" type="fixed">
<origin xyz="0 0 0" rpy="0 0 0"/>
<parent link="rm75_flange"/>
<child link="omnipicker_base_link"/>
</joint>
<link name="omnipicker_base_link">
<inertial>
<origin xyz="-0.00005520 1.2341E-05 0.03296193" rpy="0 0 0"/>
<mass value="0.25641368"/>
<inertia ixx="4.6351E-04" ixy="-1.0E-08" ixz="-1.04E-06" iyy="4.4525E-04" iyz="-5.00E-08" izz="1.0438E-04"/>
</inertial>
<visual>
<origin rpy="0 0 0" xyz="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/omnipicker/base_link.STL"/>
</geometry>
<material name="">
<color rgba="0.89804 0.91765 0.92941 1"/>
</material>
</visual>
</link>
<link name="omnipicker_hand_narrow1_Link">
<inertial>
<origin xyz="0.0094685 0.0068806 6.5437E-05" rpy="0 0 0"/>
<mass value="0.025428"/>
<inertia ixx="1.9574E-06" ixy="-4.2911E-07" ixz="-3.7111E-11" iyy="2.3919E-06" iyz="-3.008E-10" izz="1.5501E-06"/>
</inertial>
<visual>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/omnipicker/narrow1_Link.STL"/>
</geometry>
<material name="">
<color rgba="0.75294 0.75294 0.75294 1"/>
</material>
</visual>
<collision>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/omnipicker/narrow1_Link.STL"/>
</geometry>
</collision>
</link>
<joint name="omnipicker_hand_narrow1_joint" type="fixed">
<origin xyz="0 -0.0195 0.0565" rpy="-2.9951 -1.5708 -0.15964"/>
<parent link="omnipicker_base_link"/>
<child link="omnipicker_hand_narrow1_Link"/>
</joint>
<link name="omnipicker_hand_narrow2_Link">
<inertial>
<origin xyz="0.0088027 -0.007035 1.6424E-05" rpy="0 0 0"/>
<mass value="0.0040132"/>
<inertia ixx="1.0307E-07" ixy="5.7851E-08" ixz="9.5801E-11" iyy="1.1385E-07" iyz="-2.81E-11" izz="1.7009E-07"/>
</inertial>
<visual>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/omnipicker/narrow2_Link.STL"/>
</geometry>
<material name="">
<color rgba="0.75294 0.75294 0.75294 1"/>
</material>
</visual>
<collision>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/omnipicker/narrow2_Link.STL"/>
</geometry>
</collision>
</link>
<joint name="omnipicker_hand_narrow2_joint" type="fixed">
<origin xyz="0.030852 0.018551 0" rpy="0 0 0"/>
<parent link="omnipicker_hand_narrow1_Link"/>
<child link="omnipicker_hand_narrow2_Link"/>
</joint>
<link name="omnipicker_hand_narrow3_Link">
<inertial>
<origin xyz="0.012508 -0.0079729 9.4339E-05" rpy="0 0 0"/>
<mass value="0.018029"/>
<inertia ixx="1.1403E-06" ixy="5.5159E-07" ixz="-4.0096E-13" iyy="2.5704E-06" iyz="1.0951E-12" izz="2.3252E-06"/>
</inertial>
<visual>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/omnipicker/narrow3_Link.STL"/>
</geometry>
<material name="">
<color rgba="0.75294 0.75294 0.75294 1"/>
</material>
</visual>
<collision>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/omnipicker/narrow3_Link.STL"/>
</geometry>
</collision>
</link>
<joint name="omnipicker_hand_narrow3_joint" type="fixed">
<origin xyz="0.018118 -0.01574 0" rpy="0 0 0"/>
<parent link="omnipicker_hand_narrow2_Link"/>
<child link="omnipicker_hand_narrow3_Link"/>
</joint>
<link name="omnipicker_hand_narrow4_Link">
</link>
<joint name="omnipicker_hand_narrow4_joint" type="fixed">
<origin xyz="0 -0.0104 0" rpy="0 0 0"/>
<parent link="omnipicker_hand_narrow3_Link"/>
<child link="omnipicker_hand_narrow4_Link"/>
<axis xyz="0 0 1"/>
<limit lower="-3.14" upper="3.14" effort="0" velocity="0"/>
</joint>
<link name="omnipicker_hand_narrow_loop_Link">
<inertial>
<origin xyz="0.014869 -0.0036066 0.00029307" rpy="0 0 0"/>
<mass value="0.022591"/>
<inertia ixx="4.3916E-06" ixy="1.114E-07" ixz="-4.9655E-12" iyy="4.737E-06" iyz="1.7121E-11" izz="6.0445E-07"/>
</inertial>
<visual>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/omnipicker/narrow_loop_Link.STL"/>
</geometry>
<material name="">
<color rgba="0.75294 0.75294 0.75294 1"/>
</material>
</visual>
<collision>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/omnipicker/narrow_loop_Link.STL"/>
</geometry>
</collision>
</link>
<joint name="omnipicker_hand_narrow_loop_joint" type="fixed">
<origin xyz="0 -0.021633 0.07387" rpy="-2.9951 -1.5708 -0.15964"/>
<parent link="omnipicker_base_link"/>
<child link="omnipicker_hand_narrow_loop_Link"/>
</joint>
<link name="omnipicker_hand_wide1_Link">
<inertial>
<origin xyz="0.0095051 -0.0068479 6.8268E-05" rpy="0 0 0"/>
<mass value="0.025428"/>
<inertia ixx="1.9565E-06" ixy="4.2798E-07" ixz="2.3844E-10" iyy="2.3928E-06" iyz="-1.4454E-10" izz="1.5501E-06"/>
</inertial>
<visual>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/omnipicker/wide1_Link.STL"/>
</geometry>
<material name="">
<color rgba="0.75294 0.75294 0.75294 1"/>
</material>
</visual>
<collision>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/omnipicker/wide1_Link.STL"/>
</geometry>
</collision>
</link>
<joint name="omnipicker_hand_wide1_joint" type="fixed">
<origin xyz="0 0.0195 0.0565" rpy="-2.9951 -1.5708 -0.15964"/>
<parent link="omnipicker_base_link"/>
<child link="omnipicker_hand_wide1_Link"/>
</joint>
<link name="omnipicker_hand_wide2_Link">
<inertial>
<origin xyz="0.0088027 0.007035 -1.6424E-05" rpy="0 0 0"/>
<mass value="0.0040132"/>
<inertia ixx="1.0307E-07" ixy="-5.7851E-08" ixz="-9.58E-11" iyy="1.1385E-07" iyz="-2.81E-11" izz="1.7009E-07"/>
</inertial>
<visual>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/omnipicker/wide2_Link.STL"/>
</geometry>
<material name="">
<color rgba="0.75294 0.75294 0.75294 1"/>
</material>
</visual>
<collision>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/omnipicker/wide2_Link.STL"/>
</geometry>
</collision>
</link>
<joint name="omnipicker_hand_wide2_joint" type="fixed">
<origin xyz="0.030852 -0.018551 0" rpy="0 0 0"/>
<parent link="omnipicker_hand_wide1_Link"/>
<child link="omnipicker_hand_wide2_Link"/>
</joint>
<link name="omnipicker_hand_wide3_Link">
<inertial>
<origin xyz="0.016206 0.0094593 4.7668E-05" rpy="0 0 0"/>
<mass value="0.035835"/>
<inertia ixx="8.5056E-06" ixy="-1.1363E-06" ixz="-4.2908E-11" iyy="1.1235E-05" iyz="-2.9251E-11" izz="4.6309E-06"/>
</inertial>
<visual>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/omnipicker/wide3_Link.STL"/>
</geometry>
<material name="">
<color rgba="0.75294 0.75294 0.75294 1"/>
</material>
</visual>
<collision>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/omnipicker/wide3_Link.STL"/>
</geometry>
</collision>
</link>
<joint name="omnipicker_hand_wide3_joint" type="fixed">
<origin xyz="0.018118 0.01574 0" rpy="0 0 0"/>
<parent link="omnipicker_hand_wide2_Link"/>
<child link="omnipicker_hand_wide3_Link"/>
</joint>
<link name="omnipicker_hand_wide4_Link">
</link>
<joint name="omnipicker_hand_wide4_joint" type="fixed">
<origin xyz="0 0.0104 0" rpy="0 0 0"/>
<parent link="omnipicker_hand_wide3_Link"/>
<child link="omnipicker_hand_wide4_Link"/>
<axis xyz="0 0 1"/>
<limit lower="-3.14" upper="3.14" effort="0" velocity="0"/>
</joint>
<link name="omnipicker_hand_wide_loop_Link">
<inertial>
<origin xyz="0.016268 0.0040555 0.00030323" rpy="0 0 0"/>
<mass value="0.025142"/>
<inertia ixx="5.887E-06" ixy="-1.1234E-07" ixz="2.1954E-11" iyy="6.236E-06" iyz="-9.473E-12" izz="6.2389E-07"/>
</inertial>
<visual>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/omnipicker/wide_loop_Link.STL"/>
</geometry>
<material name="">
<color rgba="0.75294 0.75294 0.75294 1"/>
</material>
</visual>
<collision>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://xr_rm_teleop/models/rm75_omnipicker/meshes/omnipicker/wide_loop_Link.STL"/>
</geometry>
</collision>
</link>
<joint name="omnipicker_hand_wide_loop_joint" type="fixed">
<origin xyz="0 0.021633 0.07387" rpy="-2.9951 -1.5708 -0.15964"/>
<parent link="omnipicker_base_link"/>
<child link="omnipicker_hand_wide_loop_Link"/>
</joint>
<link name="omnipicker_mount_frame"/>
<joint name="omnipicker_base_to_mount_frame" type="fixed">
<origin xyz="0 0 0" rpy="0 0 0"/>
<parent link="omnipicker_base_link"/>
<child link="omnipicker_mount_frame"/>
</joint>
<link name="omnipicker_tcp"/>
<joint name="omnipicker_tcp_joint" type="fixed">
<parent link="omnipicker_base_link"/>
<child link="omnipicker_tcp"/>
<origin xyz="0 0 0.16" rpy="0 0 0"/>
</joint>
</robot>
+12
View File
@@ -24,6 +24,18 @@ setup(
f"share/{package_name}/models/rm75/meshes",
glob("models/rm75/meshes/*.STL"),
),
(
f"share/{package_name}/models/rm75_omnipicker/urdf",
glob("models/rm75_omnipicker/urdf/*.urdf"),
),
(
f"share/{package_name}/models/rm75_omnipicker/meshes/rm75",
glob("models/rm75_omnipicker/meshes/rm75/*.STL"),
),
(
f"share/{package_name}/models/rm75_omnipicker/meshes/omnipicker",
glob("models/rm75_omnipicker/meshes/omnipicker/*.STL"),
),
],
install_requires=["setuptools"],
zip_safe=True,
+43 -31
View File
@@ -8,56 +8,67 @@ from pathlib import Path
import numpy as np
from xr_rm_teleop.placo_ik_solver import PlacoIkSolver
from xr_rm_teleop.realman_adapter import ArmPose
CASES = {
"left": (
[-79.55, -9.99, 71.01, 101.45, 95.07, -84.47, -74.52],
[0.0, 0.0, 0.19, 0.0, 0.0, 0.0, 1.0],
),
"right": (
[-90.14, 3.76, -86.89, 87.89, -96.53, -79.62, -90.04],
[0.0, 0.0, 0.16, 0.0, 0.0, 0.0, 1.0],
),
"left": [-79.55, -9.99, 71.01, 101.45, 95.07, -84.47, -74.52],
"right": [-90.14, 3.76, -86.89, 87.89, -96.53, -79.62, -90.04],
}
def angle_error(actual: list[float], target: list[float]) -> float:
deltas = [
math.atan2(math.sin(a - b), math.cos(a - b))
for a, b in zip(actual, target)
def rotation_z(angle: float) -> np.ndarray:
cosine = math.cos(angle)
sine = math.sin(angle)
return np.asarray(
[
[cosine, -sine, 0.0],
[sine, cosine, 0.0],
[0.0, 0.0, 1.0],
]
return math.sqrt(sum(value * value for value in deltas))
)
def angle_error(actual: np.ndarray, target: np.ndarray) -> float:
cosine = np.clip((np.trace(target @ actual.T) - 1.0) * 0.5, -1.0, 1.0)
return float(math.acos(cosine))
def main() -> None:
urdf_path = Path(sys.argv[1]).resolve()
for arm, (joint_degrees, tool_pose) in CASES.items():
solver = PlacoIkSolver(str(urdf_path), tool_pose, 1.0 / 90.0)
joints = np.deg2rad(joint_degrees).tolist()
current = solver.update_joint_state(joints)
target = ArmPose(
current.x + 0.01,
current.y,
current.z,
current.rx,
current.ry,
current.rz + 0.05,
for arm, joint_degrees in CASES.items():
initial_joints = np.deg2rad(joint_degrees)
drift_solver = PlacoIkSolver(str(urdf_path), 1.0 / 125.0)
joints = initial_joints.tolist()
stationary_target = drift_solver.update_joint_state(joints)
flange = drift_solver._robot.get_T_world_frame("link_7")
flange_to_tcp = np.linalg.inv(flange) @ stationary_target
assert np.allclose(flange_to_tcp[:3, 3], [0.0, 0.0, 0.16])
assert np.allclose(flange_to_tcp[:3, :3], np.eye(3))
for _ in range(250):
drift_solver.update_joint_state(joints)
joints = drift_solver.solve(stationary_target)
drift_degrees = float(
np.max(np.abs(np.rad2deg(np.asarray(joints) - initial_joints)))
)
solver = PlacoIkSolver(str(urdf_path), 1.0 / 125.0)
joints = initial_joints.tolist()
current = solver.update_joint_state(joints)
assert current.shape == (4, 4)
target = current.copy()
target[0, 3] += 0.01
target[:3, :3] = rotation_z(0.05) @ target[:3, :3]
solve_durations = []
for _ in range(45):
for _ in range(250):
solver.update_joint_state(joints)
started_at = time.perf_counter()
joints = solver.solve(target)
solve_durations.append(time.perf_counter() - started_at)
actual = solver.update_joint_state(joints)
position_error = np.linalg.norm(
np.asarray(actual.xyz()) - np.asarray(target.xyz())
)
orientation_error = angle_error(actual.rpy(), target.rpy())
position_error = np.linalg.norm(actual[:3, 3] - target[:3, 3])
orientation_error = angle_error(actual[:3, :3], target[:3, :3])
assert len(joints) == 7
assert np.isfinite(joints).all()
assert np.allclose(
@@ -69,9 +80,10 @@ def main() -> None:
print(
f"{arm}: position_error={position_error:.6f}m, "
f"orientation_error={math.degrees(orientation_error):.3f}deg, "
f"stationary_drift={drift_degrees:.3f}deg, "
f"solve_avg={1000.0 * np.mean(solve_durations):.3f}ms, "
f"solve_max={1000.0 * max(solve_durations):.3f}ms, "
f"solve_overruns={sum(value > 1.0 / 90.0 for value in solve_durations)}"
f"solve_overruns={sum(value > 1.0 / 125.0 for value in solve_durations)}"
)
+94 -6
View File
@@ -1,13 +1,21 @@
import time
from types import SimpleNamespace
import numpy as np
import pytest
from xr_rm_teleop.realman_adapter import ArmPose, JointStateSnapshot
from xr_rm_teleop.single_arm_velocity_teleop import SingleArmVelocityTeleop
from xr_rm_teleop.realman_adapter import JointStateSnapshot
from xr_rm_teleop.single_arm_velocity_teleop import (
SingleArmVelocityTeleop,
_make_transform,
_so3_exp,
)
class FakeLogger:
def info(self, *args, **kwargs):
del args, kwargs
def warn(self, *args, **kwargs):
del args, kwargs
@@ -78,7 +86,9 @@ def test_first_feedback_initializes_last_valid_target_without_solving() -> None:
def update_joint_state(self, joints):
assert joints == [0.1] * 7
return ArmPose(0.3, 0.0, 0.2)
transform = np.eye(4)
transform[:3, 3] = [0.3, 0.0, 0.2]
return transform
def solve(self, target):
del target
@@ -95,7 +105,9 @@ def test_first_feedback_initializes_last_valid_target_without_solving() -> None:
JointStateSnapshot([0.1] * 7, time.monotonic())
)
assert pose == ArmPose(0.3, 0.0, 0.2)
assert pose == pytest.approx(
_make_transform([0.3, 0.0, 0.2], np.eye(3))
)
assert teleop._last_valid_joint_target == [0.1] * 7
assert teleop._ik_solver.solve_calls == 0
@@ -112,7 +124,7 @@ def test_qp_failure_returns_last_known_good_target() -> None:
teleop._arm_name = "right_rm75"
teleop.get_logger = lambda: FakeLogger()
target = teleop._solve_joint_target(ArmPose(0.3, 0.0, 0.2))
target = teleop._solve_joint_target(np.eye(4))
assert target == pytest.approx([0.1] * 7)
assert teleop._last_valid_joint_target == pytest.approx([0.1] * 7)
@@ -130,12 +142,88 @@ def test_qp_success_updates_last_known_good_target() -> None:
teleop._arm_name = "left_rm75"
teleop.get_logger = lambda: FakeLogger()
target = teleop._solve_joint_target(ArmPose(0.3, 0.0, 0.2))
target = teleop._solve_joint_target(np.eye(4))
assert target == pytest.approx([0.2] * 7)
assert teleop._last_valid_joint_target == pytest.approx([0.2] * 7)
def test_enter_active_control_initializes_se3_orientation_state() -> None:
teleop = object.__new__(SingleArmVelocityTeleop)
transform = _make_transform(
[0.3, -0.1, 0.2],
_so3_exp(np.asarray([0.1, -0.2, 0.3])),
)
published = []
teleop._arm_name = "right_rm75"
teleop.get_logger = lambda: FakeLogger()
teleop._publish_debug = lambda *args: published.append(args)
teleop._enter_active_control(
[0.0, 0.0, 0.0],
(0.0, 0.0, 0.0, 1.0),
transform,
FakeTime(),
)
assert teleop._robot_start_transform == pytest.approx(transform)
assert teleop._filtered_target == pytest.approx(transform[:3, 3])
assert teleop._filtered_orientation_target == pytest.approx(transform[:3, :3])
assert teleop._last_sent_orientation == pytest.approx(transform[:3, :3])
assert len(published) == 1
def test_command_angular_velocity_uses_so3_rotation_vector() -> None:
teleop = object.__new__(SingleArmVelocityTeleop)
teleop._dt = 0.1
teleop._last_sent_target = [0.0, 0.0, 0.0]
teleop._last_sent_orientation = np.eye(3)
teleop._last_command_time = None
velocity = teleop._estimate_command_velocity(
[0.0, 0.0, 0.0],
_so3_exp(np.asarray([0.0, 0.0, 0.1])),
FakeTime(),
)
assert velocity == pytest.approx([0.0, 0.0, 0.0, 0.0, 0.0, 1.0])
def test_timing_stats_logs_summary_and_clears_window() -> None:
messages = []
teleop = object.__new__(SingleArmVelocityTeleop)
teleop._arm_name = "right_rm75"
teleop._dt = 0.008
teleop._timing_stats_window = 2
teleop._timing_samples = {
name: []
for name in ("period", "total", "qp", "send", "feedback_age")
}
teleop.get_logger = lambda: SimpleNamespace(
info=lambda message: messages.append(message)
)
teleop._record_timing_sample(7.0, 6.0, 1.0, 0.5, 3.0)
assert messages == []
teleop._record_timing_sample(9.0, 10.0, 2.0, 0.7, 4.0)
assert len(messages) == 1
assert "right_rm75 timing n=2 deadline=8.000 ms" in messages[0]
assert (
"period[n=2 mean=8.000 p95=8.900 p99=8.980 "
"max=9.000 ms overruns=1]"
) in messages[0]
assert (
"total[n=2 mean=8.000 p95=9.800 p99=9.960 "
"max=10.000 ms overruns=1]"
) in messages[0]
assert "qp[n=2" in messages[0]
assert "send[n=2" in messages[0]
assert "feedback_age[n=2" in messages[0]
assert all(not samples for samples in teleop._timing_samples.values())
def test_joint_send_failure_requests_slow_stop_and_resets_control() -> None:
class FailingAdapter:
def __init__(self) -> None:
+96 -31
View File
@@ -2,14 +2,19 @@ import math
import time
from types import SimpleNamespace
import numpy as np
import pytest
from xr_rm_teleop.realman_adapter import ArmPose, JointStateSnapshot
from xr_rm_teleop.realman_adapter import JointStateSnapshot
from xr_rm_teleop.single_arm_velocity_teleop import (
SingleArmVelocityTeleop,
_euler_to_quaternion,
_make_transform,
_matrix_to_quaternion,
_normalize_quaternion,
_quaternion_to_euler,
_project_rotation,
_quaternion_to_matrix,
_so3_exp,
_so3_log,
)
@@ -18,7 +23,10 @@ def _make_teleop_for_orientation() -> SingleArmVelocityTeleop:
teleop._enable_orientation_control = True
teleop._enable_orientation_axes = [True, True, True]
teleop._controller_orientation_start = (0.0, 0.0, 0.0, 1.0)
teleop._robot_start_pose = ArmPose(0.3, 0.0, 0.2, 0.1, -0.2, 0.3)
teleop._robot_start_transform = _make_transform(
[0.3, 0.0, 0.2],
_so3_exp(np.asarray([0.1, -0.2, 0.3])),
)
teleop._xr_to_robot_matrix = [
0.0, 1.0, 0.0,
0.0, 0.0, 1.0,
@@ -27,47 +35,111 @@ def _make_teleop_for_orientation() -> SingleArmVelocityTeleop:
return teleop
def assert_angles_close(actual: list[float] | tuple[float, ...], expected: list[float]) -> None:
assert len(actual) == len(expected)
for actual_value, expected_value in zip(actual, expected):
assert math.atan2(math.sin(actual_value - expected_value), math.cos(actual_value - expected_value)) == pytest.approx(0.0)
def test_identity_controller_orientation_keeps_tcp_orientation() -> None:
teleop = _make_teleop_for_orientation()
target = teleop._raw_orientation_from_controller((0.0, 0.0, 0.0, 1.0))
assert_angles_close(target, teleop._robot_start_pose.rpy())
assert target == pytest.approx(teleop._robot_start_transform[:3, :3])
def test_xr_relative_rotation_maps_through_xr_to_robot_matrix() -> None:
teleop = _make_teleop_for_orientation()
teleop._robot_start_pose = ArmPose(0.3, 0.0, 0.2, 0.0, 0.0, 0.0)
xr_roll = _euler_to_quaternion(0.2, 0.0, 0.0)
teleop._robot_start_transform = np.eye(4)
xr_roll = _matrix_to_quaternion(_so3_exp(np.asarray([0.2, 0.0, 0.0])))
target = teleop._raw_orientation_from_controller(xr_roll)
assert_angles_close(target, [0.0, 0.0, 0.2])
assert _so3_log(target) == pytest.approx([0.0, 0.0, 0.2])
def test_orientation_deadband_filter_and_speed_limit() -> None:
def test_quaternion_sign_does_not_change_rotation() -> None:
quaternion = _normalize_quaternion((0.2, -0.3, 0.1, 0.9))
assert _quaternion_to_matrix(quaternion) == pytest.approx(
_quaternion_to_matrix(tuple(-value for value in quaternion))
)
@pytest.mark.parametrize("pitch", [math.pi / 2.0 - 1e-5, -math.pi / 2.0 + 1e-5])
def test_small_rotation_near_gimbal_lock_stays_small(pitch: float) -> None:
teleop = _make_teleop_for_orientation()
start_rotation = _so3_exp(np.asarray([0.0, pitch, 0.0]))
teleop._robot_start_transform = _make_transform([0.3, 0.0, 0.2], start_rotation)
teleop._xr_to_robot_matrix = np.eye(3).reshape(-1).tolist()
controller = _matrix_to_quaternion(_so3_exp(np.asarray([0.01, 0.0, 0.0])))
target = teleop._raw_orientation_from_controller(controller)
error = _so3_log(target @ start_rotation.T)
assert np.linalg.norm(error) == pytest.approx(0.01)
def test_crossing_old_rpy_branch_uses_shortest_rotation() -> None:
teleop = _make_teleop_for_orientation()
start_rotation = _so3_exp(np.asarray([0.0, math.pi / 2.0 - 0.001, 0.0]))
teleop._robot_start_transform = _make_transform([0.3, 0.0, 0.2], start_rotation)
teleop._xr_to_robot_matrix = np.eye(3).reshape(-1).tolist()
controller = _matrix_to_quaternion(_so3_exp(np.asarray([0.0, 0.002, 0.0])))
target = teleop._raw_orientation_from_controller(controller)
assert _so3_log(target @ start_rotation.T) == pytest.approx(
[0.0, 0.002, 0.0],
abs=1e-9,
)
def test_disabled_orientation_axis_zeros_robot_rotation_vector_component() -> None:
teleop = _make_teleop_for_orientation()
teleop._robot_start_transform = np.eye(4)
teleop._xr_to_robot_matrix = np.eye(3).reshape(-1).tolist()
teleop._enable_orientation_axes = [True, False, True]
controller = _matrix_to_quaternion(_so3_exp(np.asarray([0.1, 0.2, 0.3])))
target = teleop._raw_orientation_from_controller(controller)
assert _so3_log(target) == pytest.approx([0.1, 0.0, 0.3])
def test_orientation_deadband_filter_and_speed_limit_use_so3_angle() -> None:
teleop = object.__new__(SingleArmVelocityTeleop)
teleop._orientation_deadband_rad = 0.01
teleop._orientation_filter_alpha = 0.5
teleop._max_orientation_speed = 0.5
teleop._dt = 0.1
teleop._last_sent_orientation = [0.0, 0.0, 0.0]
teleop._filtered_orientation_target = [0.0, 0.0, 0.0]
teleop._dt = 1.0 / 125.0
teleop._last_sent_orientation = np.eye(3)
teleop._filtered_orientation_target = np.eye(3)
assert teleop._apply_orientation_deadband([0.001, 0.0, 0.0]) == [0.0, 0.0, 0.0]
inside_deadband = _so3_exp(np.asarray([0.006, 0.006, 0.0]))
assert teleop._apply_orientation_deadband(inside_deadband) == pytest.approx(np.eye(3))
filtered = teleop._filter_orientation_target([0.2, 0.0, 0.0])
assert_angles_close(filtered, [0.1, 0.0, 0.0])
target = _so3_exp(np.asarray([0.2, 0.0, 0.0]))
filtered = teleop._filter_orientation_target(target)
assert _so3_log(filtered) == pytest.approx([0.1, 0.0, 0.0])
limited, was_limited = teleop._limit_orientation_step([0.2, 0.0, 0.0])
limited, was_limited = teleop._limit_orientation_step(target)
assert was_limited
assert_angles_close(limited, [0.05, 0.0, 0.0])
assert np.linalg.norm(_so3_log(limited)) == pytest.approx(0.5 / 125.0)
def test_rotation_matrix_to_debug_quaternion_is_normalized() -> None:
quaternion = _matrix_to_quaternion(_so3_exp(np.asarray([0.2, -0.1, 0.3])))
assert np.isfinite(quaternion).all()
assert np.linalg.norm(quaternion) == pytest.approx(1.0)
def test_rotation_projection_accepts_small_error_and_rejects_invalid_matrix() -> None:
near_rotation = np.eye(3)
near_rotation[0, 1] = 1e-5
projected = _project_rotation(near_rotation)
assert projected.T @ projected == pytest.approx(np.eye(3))
assert np.linalg.det(projected) == pytest.approx(1.0)
with pytest.raises(ValueError):
_project_rotation(np.diag([2.0, 1.0, 1.0]))
def test_invalid_controller_quaternion_stops_current_tick() -> None:
@@ -102,9 +174,7 @@ def test_invalid_controller_quaternion_stops_current_tick() -> None:
time.monotonic(),
)
)
teleop._ik_solver = SimpleNamespace(
update_joint_state=lambda joints: ArmPose(0.3, 0.0, 0.2)
)
teleop._ik_solver = SimpleNamespace(update_joint_state=lambda joints: np.eye(4))
teleop._active = False
teleop._last_valid_joint_target = None
teleop._last_current_pose = None
@@ -119,11 +189,6 @@ def test_invalid_controller_quaternion_stops_current_tick() -> None:
assert stopped == [True]
def test_quaternion_roundtrip_for_small_rpy() -> None:
quat = _normalize_quaternion(_euler_to_quaternion(0.2, -0.1, 0.3))
assert_angles_close(_quaternion_to_euler(quat), [0.2, -0.1, 0.3])
def test_zero_quaternion_is_invalid() -> None:
with pytest.raises(ValueError):
_normalize_quaternion([0.0, 0.0, 0.0, 0.0])
+55 -20
View File
@@ -1,37 +1,72 @@
import math
from pathlib import Path
from xml.etree import ElementTree
import numpy as np
import pytest
from xr_rm_teleop.placo_ik_solver import (
PlacoIkSolver,
_arm_pose_to_transform,
_tool_pose_to_transform,
_transform_to_arm_pose,
_validated_transform,
)
from xr_rm_teleop.realman_adapter import ArmPose
def test_tool_offset_rotates_with_flange_and_roundtrips() -> None:
flange_pose = ArmPose(0.30, -0.10, 0.20, 0.0, math.pi / 2.0, 0.0)
tool_pose = [0.0, 0.0, 0.19, 0.0, 0.0, 0.0, 1.0]
def test_fixed_urdf_has_seven_moving_joints_and_omnipicker_tcp() -> None:
urdf_path = (
Path(__file__).resolve().parents[1]
/ "models"
/ "rm75_omnipicker"
/ "urdf"
/ "RM75-B_OmniPicker_fixed.urdf"
)
root = ElementTree.parse(urdf_path).getroot()
moving_joint_names = [
joint.attrib["name"]
for joint in root.findall("joint")
if joint.attrib["type"] != "fixed"
]
tcp_joint = root.find("joint[@name='omnipicker_tcp_joint']")
mesh_filenames = [
mesh.attrib["filename"]
for mesh in root.findall(".//mesh")
]
base_to_flange = _arm_pose_to_transform(flange_pose)
flange_to_tool = _tool_pose_to_transform(tool_pose)
base_to_tool = base_to_flange @ flange_to_tool
recovered_flange = base_to_tool @ np.linalg.inv(flange_to_tool)
assert base_to_tool[:3, 3] == pytest.approx([0.49, -0.10, 0.20])
assert recovered_flange == pytest.approx(base_to_flange)
assert moving_joint_names == [f"joint_{index}" for index in range(1, 8)]
assert all(
filename.startswith(
"package://xr_rm_teleop/models/rm75_omnipicker/meshes/"
)
for filename in mesh_filenames
)
assert tcp_joint is not None
assert tcp_joint.attrib["type"] == "fixed"
assert tcp_joint.find("parent").attrib["link"] == "omnipicker_base_link"
assert tcp_joint.find("child").attrib["link"] == "omnipicker_tcp"
assert tcp_joint.find("origin").attrib["xyz"] == "0 0 0.16"
assert tcp_joint.find("origin").attrib["rpy"] == "0 0 0"
def test_transform_to_arm_pose_roundtrip() -> None:
expected = ArmPose(0.25, -0.30, 0.40, 0.20, -0.30, 0.40)
def test_validated_transform_accepts_finite_se3_and_returns_a_copy() -> None:
transform = np.eye(4)
transform[:3, 3] = [0.3, -0.1, 0.2]
actual = _transform_to_arm_pose(_arm_pose_to_transform(expected))
actual = _validated_transform(transform)
assert actual.xyz() == pytest.approx(expected.xyz())
assert actual.rpy() == pytest.approx(expected.rpy())
assert actual == pytest.approx(transform)
assert actual is not transform
@pytest.mark.parametrize(
"transform",
[
np.eye(3),
np.full((4, 4), np.nan),
np.vstack([np.eye(3, 4), [0.0, 0.0, 0.0, 2.0]]),
np.diag([2.0, 1.0, 1.0, 1.0]),
],
)
def test_validated_transform_rejects_invalid_se3(transform: np.ndarray) -> None:
with pytest.raises(ValueError):
_validated_transform(transform)
def test_qp_result_rejects_nan_position_and_velocity_violations() -> None:
+29 -90
View File
@@ -2,102 +2,43 @@
from __future__ import annotations
import math
from importlib.metadata import PackageNotFoundError, version
from pathlib import Path
import numpy as np
from .realman_adapter import ArmPose
EXPECTED_PLACO_VERSION = "0.9.4"
RM75_JOINT_NAMES = [f"joint_{index}" for index in range(1, 8)]
RM75_Q_SLICE = slice(7, 14)
def _rpy_to_rotation(roll: float, pitch: float, yaw: float) -> np.ndarray:
cr, sr = math.cos(roll), math.sin(roll)
cp, sp = math.cos(pitch), math.sin(pitch)
cy, sy = math.cos(yaw), math.sin(yaw)
return np.array(
[
[cy * cp, cy * sp * sr - sy * cr, cy * sp * cr + sy * sr],
[sy * cp, sy * sp * sr + cy * cr, sy * sp * cr - cy * sr],
[-sp, cp * sr, cp * cr],
],
dtype=float,
)
def _validated_transform(transform: np.ndarray) -> np.ndarray:
values = np.asarray(transform, dtype=float)
if values.shape != (4, 4) or not np.isfinite(values).all():
raise ValueError("target transform must be a finite 4x4 matrix")
if not np.allclose(values[3], [0.0, 0.0, 0.0, 1.0], atol=1e-9):
raise ValueError("target transform must have a valid homogeneous row")
rotation = values[:3, :3]
if (
np.linalg.norm(rotation.T @ rotation - np.eye(3)) > 1e-3
or np.linalg.det(rotation) <= 0.0
):
raise ValueError("target transform must contain a valid rotation")
u, _, vt = np.linalg.svd(rotation)
projected = u @ vt
if np.linalg.det(projected) <= 0.0:
raise ValueError("target transform must contain a proper rotation")
def _rotation_to_rpy(rotation: np.ndarray) -> tuple[float, float, float]:
pitch = math.asin(-float(np.clip(rotation[2, 0], -1.0, 1.0)))
if abs(math.cos(pitch)) > 1e-9:
roll = math.atan2(float(rotation[2, 1]), float(rotation[2, 2]))
yaw = math.atan2(float(rotation[1, 0]), float(rotation[0, 0]))
else:
roll = math.atan2(-float(rotation[1, 2]), float(rotation[1, 1]))
yaw = 0.0
return roll, pitch, yaw
def _arm_pose_to_transform(pose: ArmPose) -> np.ndarray:
transform = np.eye(4)
transform[:3, :3] = _rpy_to_rotation(pose.rx, pose.ry, pose.rz)
transform[:3, 3] = pose.xyz()
return transform
def _tool_pose_to_transform(tool_pose: list[float]) -> np.ndarray:
values = np.asarray(tool_pose, dtype=float)
if values.shape != (7,) or not np.isfinite(values).all():
raise ValueError("tool pose must contain 7 finite values")
x, y, z, qx, qy, qz, qw = values
norm = math.sqrt(qx * qx + qy * qy + qz * qz + qw * qw)
if norm <= 1e-9:
raise ValueError("tool quaternion norm must be positive")
qx, qy, qz, qw = qx / norm, qy / norm, qz / norm, qw / norm
transform = np.eye(4)
transform[:3, :3] = np.array(
[
[
1 - 2 * (qy * qy + qz * qz),
2 * (qx * qy - qz * qw),
2 * (qx * qz + qy * qw),
],
[
2 * (qx * qy + qz * qw),
1 - 2 * (qx * qx + qz * qz),
2 * (qy * qz - qx * qw),
],
[
2 * (qx * qz - qy * qw),
2 * (qy * qz + qx * qw),
1 - 2 * (qx * qx + qy * qy),
],
]
)
transform[:3, 3] = [x, y, z]
return transform
def _transform_to_arm_pose(transform: np.ndarray) -> ArmPose:
roll, pitch, yaw = _rotation_to_rpy(transform[:3, :3])
return ArmPose(
float(transform[0, 3]),
float(transform[1, 3]),
float(transform[2, 3]),
roll,
pitch,
yaw,
)
result = values.copy()
result[:3, :3] = projected
return result
class PlacoIkSolver:
def __init__(
self,
urdf_path: str,
tool_pose: list[float],
dt: float,
) -> None:
if dt <= 0.0:
@@ -147,15 +88,16 @@ class PlacoIkSolver:
for index in velocity_offsets
]
)
self._tool_transform = _tool_pose_to_transform(tool_pose)
self._tool_inverse = np.linalg.inv(self._tool_transform)
self._actual_joints: np.ndarray | None = None
self._solver = placo.KinematicsSolver(self._robot)
self._solver.dt = dt
self._solver.mask_fbase(True)
self._solver.enable_velocity_limits(True)
self._frame_task = self._solver.add_frame_task("link_7", np.eye(4))
self._frame_task = self._solver.add_frame_task(
"omnipicker_tcp",
np.eye(4),
)
self._frame_task.configure("rm75_frame", "soft", 1.0)
manipulability = self._solver.add_manipulability_task(
"link_7",
@@ -169,7 +111,7 @@ class PlacoIkSolver:
def base_configuration(self) -> list[float]:
return self._robot.state.q[:7].tolist()
def update_joint_state(self, joints: list[float]) -> ArmPose:
def update_joint_state(self, joints: list[float]) -> np.ndarray:
values = np.asarray(joints, dtype=float)
if values.shape != (7,) or not np.isfinite(values).all():
raise ValueError("joint state must contain 7 finite values")
@@ -177,18 +119,15 @@ class PlacoIkSolver:
self._actual_joints = values.copy()
self._robot.state.q[RM75_Q_SLICE] = values
self._robot.update_kinematics()
base_to_flange = self._robot.get_T_world_frame("link_7")
base_to_tool = self._robot.get_T_world_frame("omnipicker_tcp")
if is_first_feedback:
self._frame_task.T_world_frame = base_to_flange.copy()
base_to_tool = base_to_flange @ self._tool_transform
return _transform_to_arm_pose(base_to_tool)
self._frame_task.T_world_frame = base_to_tool.copy()
return base_to_tool.copy()
def solve(self, target_tool_pose: ArmPose) -> list[float]:
def solve(self, target_tool_pose: np.ndarray) -> list[float]:
if self._actual_joints is None:
raise RuntimeError("joint state must be initialized before QP solve")
self._frame_task.T_world_frame = (
_arm_pose_to_transform(target_tool_pose) @ self._tool_inverse
)
self._frame_task.T_world_frame = _validated_transform(target_tool_pose)
self._solver.solve(True)
result = np.asarray(
self._robot.state.q[RM75_Q_SLICE],
@@ -12,6 +12,7 @@ import threading
import time
from typing import Iterable
import numpy as np
import rclpy
from geometry_msgs.msg import PoseStamped, TwistStamped
from rclpy.node import Node
@@ -23,7 +24,6 @@ from xr_rm_interfaces.msg import XrController
from .fun_peripheral import load_peripheral_config
from .placo_ik_solver import PlacoIkSolver
from .realman_adapter import (
ArmPose,
JointStateSnapshot,
MockRealManAdapter,
RealManAdapter,
@@ -38,14 +38,6 @@ def _clamp(value: float, low: float, high: float) -> float:
return min(max(value, low), high)
def _wrap_angle(angle: float) -> float:
return math.atan2(math.sin(angle), math.cos(angle))
def _angle_delta(target: float, current: float) -> float:
return _wrap_angle(target - current)
def _normalize_quaternion(values: Iterable[float]) -> tuple[float, float, float, float]:
x, y, z, w = [float(value) for value in values]
norm = math.sqrt(x * x + y * y + z * z + w * w)
@@ -54,31 +46,26 @@ def _normalize_quaternion(values: Iterable[float]) -> tuple[float, float, float,
return x / norm, y / norm, z / norm, w / norm
def _quaternion_conjugate(
def _project_rotation(rotation: np.ndarray) -> np.ndarray:
values = np.asarray(rotation, dtype=float)
if values.shape != (3, 3) or not np.isfinite(values).all():
raise ValueError("rotation must be a finite 3x3 matrix")
if (
np.linalg.norm(values.T @ values - np.eye(3)) > 1e-3
or np.linalg.det(values) <= 0.0
):
raise ValueError("rotation matrix is invalid")
u, _, vt = np.linalg.svd(values)
projected = u @ vt
if np.linalg.det(projected) <= 0.0:
raise ValueError("rotation matrix must be proper")
return projected
def _quaternion_to_matrix(
quat: tuple[float, float, float, float],
) -> tuple[float, float, float, float]:
x, y, z, w = quat
return -x, -y, -z, w
def _quaternion_multiply(
left: tuple[float, float, float, float],
right: tuple[float, float, float, float],
) -> tuple[float, float, float, float]:
lx, ly, lz, lw = left
rx, ry, rz, rw = right
return _normalize_quaternion(
(
lw * rx + lx * rw + ly * rz - lz * ry,
lw * ry - lx * rz + ly * rw + lz * rx,
lw * rz + lx * ry - ly * rx + lz * rw,
lw * rw - lx * rx - ly * ry - lz * rz,
)
)
def _quaternion_to_matrix(quat: tuple[float, float, float, float]) -> list[float]:
x, y, z, w = quat
) -> np.ndarray:
x, y, z, w = _normalize_quaternion(quat)
xx = x * x
yy = y * y
zz = z * z
@@ -88,69 +75,95 @@ def _quaternion_to_matrix(quat: tuple[float, float, float, float]) -> list[float
wx = w * x
wy = w * y
wz = w * z
return [
1.0 - 2.0 * (yy + zz),
2.0 * (xy - wz),
2.0 * (xz + wy),
2.0 * (xy + wz),
1.0 - 2.0 * (xx + zz),
2.0 * (yz - wx),
2.0 * (xz - wy),
2.0 * (yz + wx),
1.0 - 2.0 * (xx + yy),
return np.asarray(
[
[1.0 - 2.0 * (yy + zz), 2.0 * (xy - wz), 2.0 * (xz + wy)],
[2.0 * (xy + wz), 1.0 - 2.0 * (xx + zz), 2.0 * (yz - wx)],
[2.0 * (xz - wy), 2.0 * (yz + wx), 1.0 - 2.0 * (xx + yy)],
]
)
def _matrix_multiply(left: list[float], right: list[float]) -> list[float]:
return [
sum(left[row * 3 + k] * right[k * 3 + col] for k in range(3))
for row in range(3)
for col in range(3)
]
def _matrix_transpose(matrix: list[float]) -> list[float]:
return [
matrix[0], matrix[3], matrix[6],
matrix[1], matrix[4], matrix[7],
matrix[2], matrix[5], matrix[8],
]
def _euler_to_quaternion(roll: float, pitch: float, yaw: float) -> tuple[float, float, float, float]:
cy = math.cos(yaw * 0.5)
sy = math.sin(yaw * 0.5)
cp = math.cos(pitch * 0.5)
sp = math.sin(pitch * 0.5)
cr = math.cos(roll * 0.5)
sr = math.sin(roll * 0.5)
qw = cr * cp * cy + sr * sp * sy
qx = sr * cp * cy - cr * sp * sy
qy = cr * sp * cy + sr * cp * sy
qz = cr * cp * sy - sr * sp * cy
return _normalize_quaternion((qx, qy, qz, qw))
def _euler_to_matrix(roll: float, pitch: float, yaw: float) -> list[float]:
return _quaternion_to_matrix(_euler_to_quaternion(roll, pitch, yaw))
def _matrix_to_euler(matrix: list[float]) -> tuple[float, float, float]:
sy = -_clamp(matrix[6], -1.0, 1.0)
pitch = math.asin(sy)
cp = math.cos(pitch)
if abs(cp) > 1e-9:
roll = math.atan2(matrix[7], matrix[8])
yaw = math.atan2(matrix[3], matrix[0])
def _matrix_to_quaternion(
rotation: np.ndarray,
) -> tuple[float, float, float, float]:
matrix = _project_rotation(rotation)
trace = float(np.trace(matrix))
if trace > 0.0:
scale = math.sqrt(trace + 1.0) * 2.0
quaternion = (
(matrix[2, 1] - matrix[1, 2]) / scale,
(matrix[0, 2] - matrix[2, 0]) / scale,
(matrix[1, 0] - matrix[0, 1]) / scale,
0.25 * scale,
)
elif matrix[0, 0] > matrix[1, 1] and matrix[0, 0] > matrix[2, 2]:
scale = math.sqrt(1.0 + matrix[0, 0] - matrix[1, 1] - matrix[2, 2]) * 2.0
quaternion = (
0.25 * scale,
(matrix[0, 1] + matrix[1, 0]) / scale,
(matrix[0, 2] + matrix[2, 0]) / scale,
(matrix[2, 1] - matrix[1, 2]) / scale,
)
elif matrix[1, 1] > matrix[2, 2]:
scale = math.sqrt(1.0 + matrix[1, 1] - matrix[0, 0] - matrix[2, 2]) * 2.0
quaternion = (
(matrix[0, 1] + matrix[1, 0]) / scale,
0.25 * scale,
(matrix[1, 2] + matrix[2, 1]) / scale,
(matrix[0, 2] - matrix[2, 0]) / scale,
)
else:
roll = math.atan2(-matrix[5], matrix[4])
yaw = 0.0
return _wrap_angle(roll), _wrap_angle(pitch), _wrap_angle(yaw)
scale = math.sqrt(1.0 + matrix[2, 2] - matrix[0, 0] - matrix[1, 1]) * 2.0
quaternion = (
(matrix[0, 2] + matrix[2, 0]) / scale,
(matrix[1, 2] + matrix[2, 1]) / scale,
0.25 * scale,
(matrix[1, 0] - matrix[0, 1]) / scale,
)
result = _normalize_quaternion(quaternion)
return tuple(-value for value in result) if result[3] < 0.0 else result
def _quaternion_to_euler(quat: tuple[float, float, float, float]) -> tuple[float, float, float]:
return _matrix_to_euler(_quaternion_to_matrix(quat))
def _so3_log(rotation: np.ndarray) -> np.ndarray:
quaternion = _matrix_to_quaternion(rotation)
vector = np.asarray(quaternion[:3])
sine_half = float(np.linalg.norm(vector))
if sine_half <= 1e-12:
return 2.0 * vector
angle = 2.0 * math.atan2(sine_half, quaternion[3])
return vector * (angle / sine_half)
def _so3_exp(rotation_vector: np.ndarray) -> np.ndarray:
vector = np.asarray(rotation_vector, dtype=float)
if vector.shape != (3,) or not np.isfinite(vector).all():
raise ValueError("rotation vector must contain 3 finite values")
angle = float(np.linalg.norm(vector))
skew = np.asarray(
[
[0.0, -vector[2], vector[1]],
[vector[2], 0.0, -vector[0]],
[-vector[1], vector[0], 0.0],
]
)
if angle <= 1e-9:
return _project_rotation(np.eye(3) + skew + 0.5 * skew @ skew)
return _project_rotation(
np.eye(3)
+ math.sin(angle) / angle * skew
+ (1.0 - math.cos(angle)) / (angle * angle) * skew @ skew
)
def _make_transform(position: Iterable[float], rotation: np.ndarray) -> np.ndarray:
xyz = np.asarray(list(position), dtype=float)
if xyz.shape != (3,) or not np.isfinite(xyz).all():
raise ValueError("position must contain 3 finite values")
transform = np.eye(4)
transform[:3, :3] = _project_rotation(rotation)
transform[:3, 3] = xyz
return transform
class SingleArmVelocityTeleop(Node):
@@ -164,7 +177,7 @@ class SingleArmVelocityTeleop(Node):
self.declare_parameter("arm_name", "rm75")
self.declare_parameter("controller_topic", "/xr/right_controller")
self.declare_parameter("control_rate_hz", 90.0)
self.declare_parameter("control_rate_hz", 125.0)
self.declare_parameter("command_timeout_sec", 0.12)
self.declare_parameter("scale", 1.0)
self.declare_parameter("deadband_m", 0.001)
@@ -177,7 +190,7 @@ class SingleArmVelocityTeleop(Node):
self.declare_parameter("enable_orientation_axes", [True, True, True])
self.declare_parameter("orientation_deadband_rad", 0.005)
self.declare_parameter("orientation_filter_alpha", 0.65)
self.declare_parameter("max_orientation_speed", 0.6)
self.declare_parameter("max_orientation_speed", 0.5)
self.declare_parameter("workspace_min", [0.20, -0.35, 0.10])
self.declare_parameter("workspace_max", [0.65, 0.35, 0.60])
self.declare_parameter("cyl_radius_limit", [0.20, 0.60])
@@ -252,13 +265,13 @@ class SingleArmVelocityTeleop(Node):
self._active = False
self._controller_start: list[float] | None = None
self._controller_orientation_start: tuple[float, float, float, float] | None = None
self._robot_start_pose: ArmPose | None = None
self._robot_start_transform: np.ndarray | None = None
self._filtered_target: list[float] | None = None
self._filtered_orientation_target: list[float] | None = None
self._filtered_orientation_target: np.ndarray | None = None
self._last_sent_target: list[float] | None = None
self._last_sent_orientation: list[float] | None = None
self._last_sent_orientation: np.ndarray | None = None
self._last_command_time: Time | None = None
self._last_current_pose: ArmPose | None = None
self._last_current_pose: np.ndarray | None = None
self._last_valid_joint_target: list[float] | None = None
self._joint_feedback_ready = False
self._stop_sent = True
@@ -267,6 +280,12 @@ class SingleArmVelocityTeleop(Node):
self._tool_command_queue: queue.Queue[tuple[bool, str] | None] | None = None
self._tool_worker_stop = threading.Event()
self._tool_worker_thread: threading.Thread | None = None
self._timing_stats_window = max(1, int(round(5.0 / self._dt)))
self._timing_samples = {
name: []
for name in ("period", "total", "qp", "send", "feedback_age")
}
self._last_control_tick_started_ns: int | None = None
peripheral_arm = self._peripheral_arm_name()
config_file = str(self.get_parameter("peripheral_config_file").value)
@@ -276,7 +295,6 @@ class SingleArmVelocityTeleop(Node):
)
self._ik_solver = PlacoIkSolver(
str(self.get_parameter("robot_urdf_path").value),
self._peripheral_config.tool_pose,
self._dt,
)
self._adapter = self._make_adapter()
@@ -454,6 +472,18 @@ class SingleArmVelocityTeleop(Node):
self._enqueue_tool_command(self._trigger_tool_open, "trigger")
def _control_tick(self) -> None:
tick_started_ns = time.perf_counter_ns()
last_tick_started_ns = getattr(
self,
"_last_control_tick_started_ns",
None,
)
self._last_control_tick_started_ns = tick_started_ns
tick_period_ms = (
None
if last_tick_started_ns is None
else (tick_started_ns - last_tick_started_ns) * 1e-6
)
now = self.get_clock().now()
snapshot = self._fresh_joint_state()
if snapshot is None:
@@ -522,67 +552,93 @@ class SingleArmVelocityTeleop(Node):
)
return
feedback_age_ms = (time.monotonic() - snapshot.received_at) * 1000.0
assert self._controller_start is not None
assert self._robot_start_pose is not None
assert self._robot_start_transform is not None
raw_target_xyz = self._raw_target_from_controller(controller_now)
raw_target_rpy = self._raw_orientation_from_controller(controller_quat)
raw_target_orientation = self._raw_orientation_from_controller(
controller_quat
)
workspace_target, workspace_clamped = self._clamp_workspace_with_flag(raw_target_xyz)
desired_target = self._apply_deadband(workspace_target)
filtered_target = self._filter_target(desired_target)
sent_target, step_limited = self._limit_target_step(filtered_target)
sent_target, final_clamped = self._clamp_workspace_with_flag(sent_target)
desired_orientation = self._apply_orientation_deadband(raw_target_rpy)
desired_orientation = self._apply_orientation_deadband(
raw_target_orientation
)
filtered_orientation = self._filter_orientation_target(desired_orientation)
sent_orientation, orientation_step_limited = self._limit_orientation_step(filtered_orientation)
velocity = self._estimate_command_velocity(sent_target, sent_orientation, now)
target_clamped = workspace_clamped or step_limited or final_clamped or orientation_step_limited
raw_target_pose = ArmPose(
x=raw_target_xyz[0],
y=raw_target_xyz[1],
z=raw_target_xyz[2],
rx=raw_target_rpy[0],
ry=raw_target_rpy[1],
rz=raw_target_rpy[2],
raw_target_pose = _make_transform(
raw_target_xyz,
raw_target_orientation,
)
target_pose = ArmPose(
x=sent_target[0],
y=sent_target[1],
z=sent_target[2],
rx=sent_orientation[0],
ry=sent_orientation[1],
rz=sent_orientation[2],
target_pose = _make_transform(
sent_target,
sent_orientation,
)
self._publish_debug(raw_target_pose, target_pose, velocity, target_clamped)
qp_started_ns = time.perf_counter_ns()
joint_target = self._solve_joint_target(target_pose)
if self._send_joint_target(joint_target):
qp_ms = (time.perf_counter_ns() - qp_started_ns) * 1e-6
send_started_ns = time.perf_counter_ns()
sent = self._send_joint_target(joint_target)
send_ms = (time.perf_counter_ns() - send_started_ns) * 1e-6
if sent:
self._last_sent_target = sent_target
self._last_sent_orientation = sent_orientation
self._last_sent_orientation = sent_orientation.copy()
self._last_command_time = now
self._stop_sent = False
total_ms = (time.perf_counter_ns() - tick_started_ns) * 1e-6
try:
self._record_timing_sample(
tick_period_ms,
total_ms,
qp_ms,
send_ms,
feedback_age_ms,
)
except Exception as exc:
self.get_logger().warn(
f"{self._arm_name} 控制周期统计失败:{exc}",
throttle_duration_sec=5.0,
)
def _enter_active_control(
self,
controller_now: list[float],
controller_quat: tuple[float, float, float, float],
robot_pose: ArmPose,
robot_pose: np.ndarray,
now: Time,
) -> None:
robot_xyz = robot_pose.xyz()
robot_transform = _make_transform(
robot_pose[:3, 3],
robot_pose[:3, :3],
)
robot_xyz = robot_transform[:3, 3].tolist()
robot_orientation = robot_transform[:3, :3]
self._active = True
self._controller_start = controller_now
self._controller_orientation_start = controller_quat
self._robot_start_pose = robot_pose
self._robot_start_transform = robot_transform
self._filtered_target = robot_xyz
self._filtered_orientation_target = robot_pose.rpy()
self._filtered_orientation_target = robot_orientation.copy()
self._last_sent_target = robot_xyz
self._last_sent_orientation = robot_pose.rpy()
self._last_sent_orientation = robot_orientation.copy()
self._last_command_time = now
self._stop_sent = True
self.get_logger().info(f"{self._arm_name} Grip 按下,已锁定手柄和机械臂初始位姿。")
self._publish_debug(robot_pose, robot_pose, [0.0] * 6, False)
self._publish_debug(
robot_transform,
robot_transform,
[0.0] * 6,
False,
)
@staticmethod
def _controller_xyz(msg: XrController) -> list[float]:
@@ -602,15 +658,21 @@ class SingleArmVelocityTeleop(Node):
def _raw_target_from_controller(self, controller_now: list[float]) -> list[float]:
assert self._controller_start is not None
assert self._robot_start_pose is not None
assert self._robot_start_transform is not None
robot_start_xyz = self._robot_start_transform[:3, 3]
controller_delta = [controller_now[i] - self._controller_start[i] for i in range(3)]
robot_delta = self._map_xr_delta_to_robot(controller_delta)
target = [
self._robot_start_pose.x + self._scale * robot_delta[0],
self._robot_start_pose.y + self._scale * robot_delta[1],
self._robot_start_pose.z + self._scale * robot_delta[2],
robot_start_xyz[0] + self._scale * robot_delta[0],
robot_start_xyz[1] + self._scale * robot_delta[1],
robot_start_xyz[2] + self._scale * robot_delta[2],
]
return [
float(target[index])
if self._enable_position_axes[index]
else float(robot_start_xyz[index])
for index in range(3)
]
return [target[i] if self._enable_position_axes[i] else self._robot_start_pose.xyz()[i] for i in range(3)]
def _map_xr_delta_to_robot(self, delta: list[float]) -> list[float]:
matrix = self._xr_to_robot_matrix
@@ -623,34 +685,33 @@ class SingleArmVelocityTeleop(Node):
def _raw_orientation_from_controller(
self,
controller_quat: tuple[float, float, float, float],
) -> list[float]:
assert self._robot_start_pose is not None
) -> np.ndarray:
assert self._robot_start_transform is not None
robot_start_rotation = self._robot_start_transform[:3, :3]
if not self._enable_orientation_control:
return self._robot_start_pose.rpy()
return robot_start_rotation.copy()
assert self._controller_orientation_start is not None
xr_delta_quat = _quaternion_multiply(
controller_quat,
_quaternion_conjugate(self._controller_orientation_start),
xr_delta_matrix = (
_quaternion_to_matrix(controller_quat)
@ _quaternion_to_matrix(self._controller_orientation_start).T
)
xr_delta_matrix = _quaternion_to_matrix(xr_delta_quat)
matrix = self._xr_to_robot_matrix
robot_delta_matrix = _matrix_multiply(
_matrix_multiply(matrix, xr_delta_matrix),
_matrix_transpose(matrix),
mapping = np.asarray(self._xr_to_robot_matrix, dtype=float).reshape(3, 3)
robot_delta = _project_rotation(
mapping @ xr_delta_matrix @ mapping.T
)
robot_start_matrix = _euler_to_matrix(
self._robot_start_pose.rx,
self._robot_start_pose.ry,
self._robot_start_pose.rz,
)
target_matrix = _matrix_multiply(robot_delta_matrix, robot_start_matrix)
target_rpy = list(_matrix_to_euler(target_matrix))
start_rpy = self._robot_start_pose.rpy()
return [
target_rpy[i] if self._enable_orientation_axes[i] else start_rpy[i]
for i in range(3)
rotation_vector = _so3_log(robot_delta)
rotation_vector = np.asarray(
[
rotation_vector[index]
if self._enable_orientation_axes[index]
else 0.0
for index in range(3)
]
)
return _project_rotation(
_so3_exp(rotation_vector) @ robot_start_rotation
)
def _apply_deadband(self, target: list[float]) -> list[float]:
if self._deadband_m <= 0.0 or self._last_sent_target is None:
@@ -699,50 +760,49 @@ class SingleArmVelocityTeleop(Node):
for i in range(3)
], True
def _apply_orientation_deadband(self, target_rpy: list[float]) -> list[float]:
def _apply_orientation_deadband(self, target_rotation: np.ndarray) -> np.ndarray:
if self._orientation_deadband_rad <= 0.0 or self._last_sent_orientation is None:
return [_wrap_angle(value) for value in target_rpy]
delta = [
_angle_delta(target_rpy[i], self._last_sent_orientation[i])
for i in range(3)
]
if _norm(delta) < self._orientation_deadband_rad:
return list(self._last_sent_orientation)
return [_wrap_angle(value) for value in target_rpy]
def _filter_orientation_target(self, target_rpy: list[float]) -> list[float]:
if self._filtered_orientation_target is None:
self._filtered_orientation_target = [_wrap_angle(value) for value in target_rpy]
return list(self._filtered_orientation_target)
self._filtered_orientation_target = [
_wrap_angle(
self._filtered_orientation_target[i]
+ self._orientation_filter_alpha
* _angle_delta(target_rpy[i], self._filtered_orientation_target[i])
return _project_rotation(target_rotation)
error = _so3_log(
target_rotation @ self._last_sent_orientation.T
)
for i in range(3)
]
return list(self._filtered_orientation_target)
if np.linalg.norm(error) < self._orientation_deadband_rad:
return self._last_sent_orientation.copy()
return _project_rotation(target_rotation)
def _limit_orientation_step(self, target_rpy: list[float]) -> tuple[list[float], bool]:
def _filter_orientation_target(self, target_rotation: np.ndarray) -> np.ndarray:
if self._filtered_orientation_target is None:
self._filtered_orientation_target = _project_rotation(target_rotation)
return self._filtered_orientation_target.copy()
error = _so3_log(
target_rotation @ self._filtered_orientation_target.T
)
self._filtered_orientation_target = _project_rotation(
_so3_exp(self._orientation_filter_alpha * error)
@ self._filtered_orientation_target
)
return self._filtered_orientation_target.copy()
def _limit_orientation_step(
self,
target_rotation: np.ndarray,
) -> tuple[np.ndarray, bool]:
if self._last_sent_orientation is None:
return [_wrap_angle(value) for value in target_rpy], False
return _project_rotation(target_rotation), False
delta = [
_angle_delta(target_rpy[i], self._last_sent_orientation[i])
for i in range(3)
]
distance = _norm(delta)
error = _so3_log(
target_rotation @ self._last_sent_orientation.T
)
distance = float(np.linalg.norm(error))
max_step = self._max_orientation_speed * self._dt
if distance <= max_step or distance <= 1e-9:
return [_wrap_angle(value) for value in target_rpy], False
return _project_rotation(target_rotation), False
scale = max_step / distance
return [
_wrap_angle(self._last_sent_orientation[i] + delta[i] * scale)
for i in range(3)
], True
return _project_rotation(
_so3_exp(scale * error) @ self._last_sent_orientation
), True
def _clamp_workspace_with_flag(self, target: list[float]) -> tuple[list[float], bool]:
clamped = [
@@ -777,7 +837,7 @@ class SingleArmVelocityTeleop(Node):
def _estimate_command_velocity(
self,
target_xyz: list[float],
target_rpy: list[float],
target_rotation: np.ndarray,
now: Time,
) -> list[float]:
if self._last_sent_target is None or self._last_sent_orientation is None:
@@ -788,13 +848,78 @@ class SingleArmVelocityTeleop(Node):
measured_dt = (now - self._last_command_time).nanoseconds * 1e-9
if measured_dt > 1e-6:
dt = measured_dt
angular_velocity = (
_so3_log(target_rotation @ self._last_sent_orientation.T) / dt
)
return [
(target_xyz[i] - self._last_sent_target[i]) / dt
for i in range(3)
] + [
_angle_delta(target_rpy[i], self._last_sent_orientation[i]) / dt
for i in range(3)
] + angular_velocity.tolist()
@staticmethod
def _timing_summary(
name: str,
samples: list[float],
deadline_ms: float | None = None,
) -> str:
values = np.asarray(samples)
result = (
f"{name}[n={len(samples)} mean={np.mean(values):.3f} "
f"p95={np.percentile(values, 95):.3f} "
f"p99={np.percentile(values, 99):.3f} "
f"max={np.max(values):.3f} ms"
)
if deadline_ms is not None:
result += (
f" overruns={int(np.count_nonzero(values > deadline_ms))}"
)
return result + "]"
def _record_timing_sample(
self,
period_ms: float | None,
total_ms: float,
qp_ms: float,
send_ms: float,
feedback_age_ms: float,
) -> None:
if period_ms is not None:
self._timing_samples["period"].append(period_ms)
self._timing_samples["total"].append(total_ms)
self._timing_samples["qp"].append(qp_ms)
self._timing_samples["send"].append(send_ms)
self._timing_samples["feedback_age"].append(feedback_age_ms)
if len(self._timing_samples["total"]) < self._timing_stats_window:
return
sample_count = len(self._timing_samples["total"])
deadline_ms = self._dt * 1000.0
summaries = [
self._timing_summary(
"period",
self._timing_samples["period"],
deadline_ms,
),
self._timing_summary(
"total",
self._timing_samples["total"],
deadline_ms,
),
self._timing_summary("qp", self._timing_samples["qp"]),
self._timing_summary("send", self._timing_samples["send"]),
self._timing_summary(
"feedback_age",
self._timing_samples["feedback_age"],
),
]
message = (
f"{self._arm_name} timing n={sample_count} "
f"deadline={deadline_ms:.3f} ms | "
+ " | ".join(summaries)
)
for samples in self._timing_samples.values():
samples.clear()
self.get_logger().info(message)
def _fresh_joint_state(self) -> JointStateSnapshot | None:
snapshot = self._adapter.get_latest_joint_state()
@@ -813,7 +938,7 @@ class SingleArmVelocityTeleop(Node):
def _sync_joint_feedback(
self,
snapshot: JointStateSnapshot,
) -> ArmPose:
) -> np.ndarray:
current_pose = self._ik_solver.update_joint_state(
snapshot.positions
)
@@ -822,7 +947,7 @@ class SingleArmVelocityTeleop(Node):
self._last_valid_joint_target = list(snapshot.positions)
return current_pose
def _solve_joint_target(self, target_pose: ArmPose) -> list[float]:
def _solve_joint_target(self, target_pose: np.ndarray) -> list[float]:
if self._last_valid_joint_target is None:
raise RuntimeError("valid joint feedback has not been initialized")
try:
@@ -843,7 +968,7 @@ class SingleArmVelocityTeleop(Node):
self._active = False
self._controller_start = None
self._controller_orientation_start = None
self._robot_start_pose = None
self._robot_start_transform = None
self._filtered_target = None
self._filtered_orientation_target = None
self._last_sent_target = None
@@ -867,14 +992,19 @@ class SingleArmVelocityTeleop(Node):
return
self._publish_debug(pose, pose, [0.0] * 6, False)
def _debug_pose_fallback(self) -> ArmPose | None:
def _debug_pose_fallback(self) -> np.ndarray | None:
if self._last_current_pose is not None:
return self._last_current_pose
if self._robot_start_pose is not None:
return self._robot_start_pose
if self._last_sent_target is not None:
rpy = self._last_sent_orientation or [0.0, 0.0, 0.0]
return ArmPose(*self._last_sent_target, *rpy)
if self._robot_start_transform is not None:
return self._robot_start_transform
if (
self._last_sent_target is not None
and self._last_sent_orientation is not None
):
return _make_transform(
self._last_sent_target,
self._last_sent_orientation,
)
return None
def _send_joint_target(self, joints: list[float]) -> bool:
@@ -892,8 +1022,8 @@ class SingleArmVelocityTeleop(Node):
def _publish_debug(
self,
raw_target_pose: ArmPose,
target_pose: ArmPose,
raw_target_pose: np.ndarray,
target_pose: np.ndarray,
command_velocity: list[float],
target_clamped: bool,
) -> None:
@@ -924,14 +1054,15 @@ class SingleArmVelocityTeleop(Node):
self._target_clamped_pub.publish(clamped_msg)
@staticmethod
def _pose_msg(stamp, pose: ArmPose) -> PoseStamped:
qx, qy, qz, qw = _euler_to_quaternion(pose.rx, pose.ry, pose.rz)
def _pose_msg(stamp, pose: np.ndarray) -> PoseStamped:
transform = _make_transform(pose[:3, 3], pose[:3, :3])
qx, qy, qz, qw = _matrix_to_quaternion(transform[:3, :3])
msg = PoseStamped()
msg.header.stamp = stamp
msg.header.frame_id = "rm_base"
msg.pose.position.x = float(pose.x)
msg.pose.position.y = float(pose.y)
msg.pose.position.z = float(pose.z)
msg.pose.position.x = float(transform[0, 3])
msg.pose.position.y = float(transform[1, 3])
msg.pose.position.z = float(transform[2, 3])
msg.pose.orientation.x = qx
msg.pose.orientation.y = qy
msg.pose.orientation.z = qz