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# 右臂番茄采摘 ACT 数据采集适配设计
## 背景与目标
当前项目已经通过 ROS2 Humble、PICO 手柄、Placo QP 和 RealMan Python API2
完成 RM75 遥操作。右臂遥操节点以名义 `90 Hz` 读取实际关节反馈,根据 PICO
相对位姿生成 TCP 目标,经过工作空间限制、QP、关节速度与加速度限制后,通过
`rm_movej_canfd` 下发最终关节目标。
本次变更在不重写现有遥操链路的前提下,增加一个独立的 ALOHA/ACT 风格数据采集
节点。第一阶段只采集右臂番茄采摘任务,每个 episode 覆盖从初始位姿出发、抓取
番茄、搬运至 RM75 下方收集篮并释放番茄的完整过程。
核心目标如下:
- 以右臂 7 个实际关节角和夹爪逻辑状态作为 `observations/qpos`
- 以实际成功下发或零阶保持的 7 个最终关节目标和夹爪目标作为 `action`
- 同步采集一台全局 D455 和一台右腕 D405 的 RGB 图像;
-`30 Hz` 形成同周期因果对齐的数据;
- 每个完整任务流式保存为一个 ALOHA/ACT 核心结构兼容的 HDF5 文件;
- 支持手柄开始、结束、丢弃、拒绝、质量检查、崩溃恢复和编号防覆盖;
- 保留足够的 PICO、TCP、QP、夹爪和时间戳调试数据,但不让采集节点进入机器人
控制链路。
参考实现为 ALOHA 官方仓库中的
[`record_episodes.py`](https://github.com/tonyzhaozh/aloha/blob/master/aloha_scripts/record_episodes.py)。
官方双臂数据使用 14 维状态和动作;本项目第一阶段采用右臂 `7+1=8` 维,因此只
保证 HDF5 核心组织方式兼容,不声称官方旧训练加载器可以不修改直接训练。
## 非目标
第一阶段明确不实现:
- 左臂或双臂 ACT 采集;
- ACT 训练代码、数据加载器、策略部署或自动完成判定;
- 深度图、红外图、点云、图像压缩或 ROS 图像话题;
- rosbag、中间格式、离线转换工具、GUI、声音或手柄震动反馈;
- 让 ACT 学习 A 键触发的回初始位姿运动;
- 修改现有工作空间限制、圆柱限制、速度限制、指令超时、安全停止或
`move_to_initial_pose_on_connect` 默认值;
- 新建重复的 ROS2 包或第二个 RealMan 连接。
后续训练时建议将 ACT `chunk_size` 设为 `60`,对应约 2 秒动作长度;该参数属于
训练配置,不写死在采集逻辑中。
## 现有控制链路与关键约束
现有 `single_arm_velocity_teleop` 在每个控制周期内依次完成:
```text
读取最新 RM75 反馈
→ 同步 Placo 状态
→ 读取 PICO 状态并生成 TCP 目标
→ 工作空间、位姿步长与速度限制
→ Placo QP
→ 关节速度与加速度限制
→ rm_movej_canfd 下发
→ 发布 joint_target 调试话题
```
当前 `joint_states`、TCP 调试话题和 `joint_target` 分别发布并各自取时间戳。如果
采集节点仅订阅这些分散话题,即使时间接近,也可能把第 100 个控制周期的
`q_actual` 与第 99 个控制周期的 `q_target` 拼在一起。这里的“第 100 个周期”是
控制序号,不是 `100 Hz`;现有控制频率仍是名义 `90 Hz`
此外,A 键回位调用的是一次阻塞式 `rm_movej(initial_joint_pose)`。轨迹由 RM75
控制器内部生成,项目不能获得每个控制周期的中间目标,也不经过当前 QP 和
`rm_movej_canfd` 链路,因此不能与遥操动作混用同一种标签语义。
## 总体架构
采用一个自定义原子控制采样消息和一个独立 ACT 采集节点:
```text
PICO 输入 + RM75 反馈
single_arm_velocity_teleop90 Hz
QP → 关节限速/限加速度 → RM75 下发
ActControlSample(同周期、同时间戳、同序号)
act_episode_recorder(每 3 个控制周期取 1 个)
├──────────────┐
↓ ↓
全局 D455 RGB 右腕 D405 RGB
└──────┬───────┘
30 Hz 流式写入临时 HDF5
裁剪 → 质量检查 → 保存/拒绝/丢弃
```
“原子”表示消息是一个逻辑上不可拆分的控制周期快照。订阅者要么收到该周期完整的
反馈、求解结果、最终动作和状态,要么该周期整体缺失;不会自行拼接多个异步话题。
职责边界如下:
- 遥操节点继续唯一负责 RM75 连接、反馈、QP、限位、动作下发和安全停止;
- 遥操节点只增加原子消息发布和夹爪逻辑状态记录,不读取相机、不写 HDF5;
- 采集节点只订阅控制/PICO 数据、独占两台相机并写文件,不连接或控制 RM75;
- 采集节点异常、退出或写盘过慢不得阻塞遥操发布或改变机器人动作;
- 相机由采集节点通过 `pyrealsense2` 直接打开,不再发布和重新订阅 ROS 图像。
原子消息使用本机低延迟、非阻塞的 best-effort QoS。采集节点检测任何需要保留的
控制周期丢失并拒绝 episode,而不是让 DDS 反压影响遥操控制。
## 原子控制采样消息
`xr_rm_interfaces` 中新增 `ActControlSample.msg`,发布话题为:
```text
/xr_rm/right_rm75/act_control_sample
```
消息至少表达以下内容:
| 类别 | 字段语义 |
|---|---|
| 周期标识 | ROS header、`control_seq`、控制周期单调时间戳 |
| 关节反馈 | `q_actual[7]`、当前 URDF 关节上下限、反馈接收单调时间戳、反馈年龄、反馈有效状态 |
| QP | QP 原始输出或失败时的保持目标 `q_qp_raw[7]`、是否尝试、成功状态、耗时 |
| 最终动作 | 经关节限速后的 `q_target[7]`、动作时间戳、是否当前周期成功下发 |
| TCP | 当前 TCP、PICO 映射前的原始目标 TCP、最终受限目标 TCP、命令速度 |
| PICO | 当前右手位姿、Grip、Trigger、A、B 和摇杆值 |
| 夹爪 | 请求目标、已确认逻辑状态、命令是否处理中、命令是否失败 |
| 控制状态 | `teleop_active``action_valid`、QP 回退、目标限位和控制故障状态 |
数值型关节字段在 ROS 消息中保持双精度,写入 HDF5 核心数据时显式转换成
`float32`。位姿使用位置加四元数,不保存完整 Placo 对象、Hessian、约束矩阵或
其他大体积求解器内部状态。
消息在每个实际执行的 90 Hz 控制回调中发布,包括 Grip 松开和安全停止状态:
- 当前周期成功发送动作时,`command_sent=true`
- 当前周期没有发送,但此前存在成功目标时,`q_target` 零阶保持上一个成功目标,
`command_sent=false``action_valid=true`
- 尚未形成任何有效目标或当前动作发送失败时,`action_valid=false`
- QP 失败但成功重发上次有效目标时,`qp_success=false``action_valid=true`
- 发送失败必须发布失败状态,并由采集节点拒绝当前 episode。
相机数据不放进该消息。相机时间戳和帧号由采集节点在同一主机的单调时钟域中补充。
## 夹爪数据语义
右臂使用 Modbus 电动夹爪。由于不同番茄尺寸会导致实际停止开度不同,而本项目只
关心抓取意图,第一阶段不读取或估算实际开度。
统一约定:
```text
0 = closed
1 = open
```
两类状态必须分开:
- `action[7]` 是目标状态,在 Trigger 产生开合请求的控制周期立即改变;
- `qpos[7]` 是已确认逻辑状态,只有 Modbus 命令正常返回后才改变;
- 命令失败时 `qpos[7]` 保持原值,并拒绝当前 episode;
- 采集前右臂夹爪必须成功初始化为完全打开 `1.0`,之后才允许把初始
`qpos[7]` 设为 `1`
- 不再使用原先含义不明确的 `0.75 → 0.15` 初始化序列。
结束一个有效番茄采摘 episode 前,操作者应先请求打开夹爪,等待日志/状态确认
逻辑状态已经变为 `open`,再松开 Grip 并按 B。结束时夹爪命令仍在执行,保存状态
最多等待 3 秒;失败或超时则拒绝。最终裁剪后的数据若没有包含已确认的打开状态,
同样拒绝,不能把保存后的成功状态回填到更早样本中。
## 相机配置与采集
第一阶段固定使用两台已确定序列号的 RealSense:
| ACT 名称 | 型号与位置 | 序列号 |
|---|---|---|
| `cam_high` | 全局 D455 | `234222303366` |
| `cam_right_wrist` | 右臂腕部 D405 | `412622272532` |
两路图像参数统一为:
```text
分辨率:640 × 480
帧率:30 FPS
格式:RGB uint8
HDF5 形状:(T, 480, 640, 3)
```
不采集深度、红外和点云,不使用 JPEG 压缩。采集线程直接请求 RealSense RGB8
避免为颜色通道转换引入 OpenCV 依赖。
每台相机使用独立采集线程和一个很小的 `deque` 帧缓冲。每帧保存:
- RealSense 帧号;
- RealSense 硬件时间戳;
- `wait_for_frames` 返回后立即读取的主机单调时间戳;
- RGB 数组。
两台设备的硬件时钟不能默认视为同一时钟域,因此正式对齐只使用同一主机的单调
时钟;硬件时间戳只用于发现设备重启、帧号跳变和采集异常。
采集节点独占相机。指定设备缺失、型号/序列号不匹配、流配置失败或已经被其他
进程占用时,预检失败并停留在 `IDLE`,不自动替换成其他相机。
## 30 Hz 采样与因果对齐
正式采样不使用独立的 30 Hz ROS 定时器。采集节点在首次有效 Grip 控制周期记录
`sample_origin_seq`,随后只选择:
```text
(control_seq - sample_origin_seq) % 3 == 0
```
因此 90 Hz 控制消息按 `0、3、6、9...` 的相对序号形成名义 30 Hz 数据,同时保证
第一个正式样本就是首次有效动作,而不是等待一个全局取模相位。
每个样本的定义为:
```text
observation[t]
= 当前控制周期开始时读取的 q_actual
+ 对每台相机选择主机时间戳不晚于该控制周期的最新帧
action[t]
= 同一控制周期经 QP、关节限速后成功发送的 q_target
或 Grip 暂停/QP 回退时明确定义的上次成功目标
```
采集节点收到消息时,相机缓冲中可能已经存在晚于控制周期的帧,因此不能简单取
“回调时最新帧”,必须按 `host_monotonic_ns <= control_monotonic_ns` 选择最近帧。
不存在满足条件且年龄不超过 50 ms 的帧时,当前 episode 拒绝。
不采用官方旧加载器中的 `action[t-1]` 补丁。HDF5 根属性写入:
```text
action_alignment = "same_step_causal"
```
控制、反馈、动作和图像源时间戳全部保存在 `/debug`,未来只有在真实延迟测量证明
存在稳定偏移时,才在训练加载器中调整;原始 HDF5 不进行不可逆移位。
## Episode 边界与手柄状态机
### 按键映射
- 右手 B,即右手 `secondary` 单击:开始准备或结束保存;
- 左手 Y,即左手 `secondary` 长按 1 秒:丢弃当前准备/录制;
- 右手 A,即右手 `primary`:继续保持现有右臂回初始位姿功能;
- Grip:继续只控制遥操离合,不作为“只在按下时才记录”的采集开关。
右手 B 在右手 Grip 按下时始终忽略,避免运动中误触开始或结束。左手 Y 仅在
`ARMED``RECORDING` 中长按有效,在 `IDLE` 中无作用,且永远不删除上一个已经
保存的 episode。
### 状态机
```text
IDLE
└─ Grip 松开时单击右手 B
├─ 预检失败 → IDLE
└─ 预检通过 → ARMED
ARMED
├─ 第一次 Grip 有效动作 → RECORDING
├─ 再次单击右手 B → 取消 → IDLE
├─ 长按左手 Y 1 秒 → DISCARDED → IDLE
└─ 按右手 A → 取消 → IDLE
RECORDING
├─ Grip 松开后单击右手 B → SAVING
├─ 长按左手 Y 1 秒 → DISCARDED → IDLE
├─ 按右手 A → REJECTED → IDLE
└─ 硬质量故障/60 秒上限/Ctrl+C → REJECTED → IDLE
SAVING
├─ 质量检查通过 → SAVED → IDLE
└─ 质量检查失败 → REJECTED → IDLE
```
`IDLE``ARMED``RECORDING``SAVING` 是运行状态;`SAVED``DISCARDED`
`REJECTED` 是短暂结果状态,发布一次结果并输出日志后回到 `IDLE``SAVING`
期间忽略 B/Y 录制按键,A 键仍属于原有遥操逻辑,但不会再进入已经结束的数据。
状态通过 `std_msgs/msg/String` 话题 `/act/recording_status` 和终端日志报告,不增加
新状态消息、声音或震动接口。
### 连续记录与 Grip 暂停
正式时间轴从 `ARMED` 后 Grip 按下且第一次
`action_valid=true、command_sent=true` 的控制周期开始。Grip 刚按下的建基准周期
尚未向 RM75 发送新的 CANFD 目标,因此不作为第一个训练样本。
录制过程中临时松开 Grip 时仍以 30 Hz 保存图像和 `qpos``action` 零阶保持上次
成功目标,并记录 `teleop_active=false`
- 松开后重新按 Grip:暂停区间保留,继续同一个 episode;
- 最后一次松开后按 B:将该次松开至 B 之间的纯操作等待数据裁掉,episode 结束在
最后一次 Grip 松开附近;
- 夹爪打开确认必须已经包含在裁剪终点之前,否则拒绝该 episode。
只在 Grip 按下时保存数据会丢失接近任务开始、暂停恢复和完整视觉上下文,因此不
采用该方案。
### Episode 是否包含 A 键回位
一个正式 episode 只包含:
```text
初始位姿、夹爪打开
→ 接近番茄
→ 闭合夹爪
→ 搬运至收集篮
→ 打开夹爪并确认成功
→ 松开 Grip
→ 按 B 结束
```
A 键的 `rm_movej(initial_joint_pose)` 必须在成功结束 episode 后执行,不写进
episode。这样 ACT 始终学习同一种逐周期 `q_target` 动作语义。未来实时推理若要
连续采摘,应由上层状态机执行:
```text
ACT 完成一次采摘 → 完成判定 → 固定 rm_movej 复位 → 下一次 ACT 采摘
```
若在 `RECORDING` 中误按 A,当前文件转入拒绝目录,原因写为:
```text
initial_pose_command_during_episode
```
拒绝数据不会拦截 A 键原有回位动作,也不会额外控制机器人。
## HDF5 核心结构
数据根目录和任务目录固定为:
```text
/home/robot/ACT_Data
/home/robot/ACT_Data/tomato_pick
```
正式文件核心结构:
```text
/observations/qpos float32 (T, 8)
/observations/images/cam_high uint8 (T, 480, 640, 3)
/observations/images/cam_right_wrist uint8 (T, 480, 640, 3)
/action float32 (T, 8)
/debug/...
```
`T` 是该次任务的实际样本数,不要求所有 episode 等长,不进行文件内 padding。
最短有效 episode 为 `60` 个样本,即 2 秒;最长为 `1800` 个样本,即 60 秒。
8 维字段顺序固定为:
```text
qpos[0:7] = RM75 实际反馈关节角,单位 rad
qpos[7] = 已确认夹爪逻辑状态,0 closed、1 open
action[0:7] = 最终成功下发或明确定义为保持的关节目标,单位 rad
action[7] = 夹爪请求目标,0 closed、1 open
```
根属性至少包括:
| 属性 | 值或语义 |
|---|---|
| `sim` | `false`,与 ALOHA 真实数据约定一致 |
| `task_name` | `tomato_pick` |
| `sample_rate_hz` | `30` |
| `action_alignment` | `same_step_causal` |
| `arm` | `right_rm75` |
| `episode_status` | `saved``rejected` |
| `camera_high_serial` | `234222303366` |
| `camera_right_wrist_serial` | `412622272532` |
| `joint_names` | 7 个 RM75 关节名和 `gripper` 的固定顺序 |
| `joint_lower_limits` | 来自当前 Placo/URDF 的 7 关节下限 |
| `joint_upper_limits` | 来自当前 Placo/URDF 的 7 关节上限 |
| `reject_reason` | 仅拒绝文件存在 |
| `interrupted` | 正常文件为 `false`Ctrl+C/异常恢复为 `true` |
图像不压缩,每帧使用一个 HDF5 chunk;数值数据使用可扩展的一维时间轴并分块
写入。按两路 `640×480×3×30` 计算,图像数据约为 3.3 GB/分钟,因此不能把完整
episode 先缓存到内存再一次性保存。
不创建 `/observations/qvel``/observations/effort`、压缩标记或 `compress_len`
也不使用零值、有限差分或其他伪数据填充缺失字段。后续训练加载器按存在的核心
字段读取。
## Debug 结构
自定义消息是运行时传输载体,进程退出后不会保留;HDF5 `/debug` 是永久诊断记录。
ACT 训练默认不读取该组。
建议使用以下精简结构,布尔状态以 `uint8` 保存:
```text
/debug/timestamps/control_monotonic_ns int64 (T,)
/debug/timestamps/feedback_monotonic_ns int64 (T,)
/debug/timestamps/action_monotonic_ns int64 (T,)
/debug/timestamps/cam_high_host_monotonic_ns int64 (T,)
/debug/timestamps/cam_wrist_host_monotonic_ns int64 (T,)
/debug/timestamps/cam_high_hardware_ms float64 (T,)
/debug/timestamps/cam_wrist_hardware_ms float64 (T,)
/debug/timestamps/cam_high_age_ms float32 (T,)
/debug/timestamps/cam_wrist_age_ms float32 (T,)
/debug/timestamps/inter_camera_skew_ms float32 (T,)
/debug/cameras/cam_high_frame_number uint64 (T,)
/debug/cameras/cam_wrist_frame_number uint64 (T,)
/debug/control/control_seq uint64 (T,)
/debug/control/teleop_active uint8 (T,)
/debug/control/action_valid uint8 (T,)
/debug/control/command_sent uint8 (T,)
/debug/control/target_clamped uint8 (T,)
/debug/control/control_fault uint8 (T,)
/debug/qp/raw_target float32 (T, 7)
/debug/qp/attempted uint8 (T,)
/debug/qp/success uint8 (T,)
/debug/qp/duration_ms float32 (T,)
/debug/tcp/current_pose float32 (T, 7)
/debug/tcp/raw_target_pose float32 (T, 7)
/debug/tcp/final_target_pose float32 (T, 7)
/debug/tcp/command_velocity float32 (T, 6)
/debug/pico/right_pose float32 (T, 7)
/debug/pico/right_inputs float32 (T, 6)
/debug/pico/left_secondary uint8 (T,)
/debug/gripper/target_open uint8 (T,)
/debug/gripper/state_open uint8 (T,)
/debug/gripper/command_pending uint8 (T,)
/debug/gripper/command_failed uint8 (T,)
```
位姿顺序统一为 `[x, y, z, qx, qy, qz, qw]`TCP 速度顺序统一为
`[vx, vy, vz, wx, wy, wz]``right_inputs` 顺序在文件属性中写明。当前周期没有发送
动作时,`action_monotonic_ns=-1`,并以 `command_sent=false` 消除歧义。
episode 根属性额外保存 QP 失败次数、失败占比、最长连续失败次数、目标限位次数、
相机帧率、丢帧率和最大时间偏差等汇总指标。
## 数据质量规则
### 开始前预检
Grip 松开时单击 B 后,采集节点检查:
- 输出目录存在或可以创建且可写;
- 可用空间不少于 4 GiB,约为 60 秒原始图像估算值的 1.2 倍;
- 两台指定相机均在线、已经连续预热 5 秒且当前帧率合格;
- 最近 `q_actual` 合法,反馈年龄不超过 50 ms,RM75 无掉使能或控制故障;
- 右臂夹爪初始化打开命令已经成功;
- 左右 PICO 话题均在现有手柄超时范围内保持新鲜;
- 没有第二个采集进程持有任务目录锁或相机设备;
- 启动组合是 `arm:=right use_mock:=false record_act:=true`
任一预检失败时输出明确原因并停留在 `IDLE`,不生成空文件,也不改变机器人状态。
### 硬拒绝条件
以下任一情况使当前 episode 进入 `REJECTED`
- 样本少于 60 或达到 60 秒上限;
- 控制周期序列缺失、有效平均采样率低于 27 Hz 或相邻样本间隔超过 100 ms;
- `qpos/action` 不是 `(T,8)`、包含 NaN/Inf、违反配置关节限制或夹爪值不是
`0/1`
- `q_actual` 年龄超过 50 ms,反馈超时、掉使能或出现控制故障;
- 最终关节动作发送失败,或消息表示的反馈和动作不属于同一控制周期;
- 夹爪命令失败、超时,或最终裁剪数据没有包含已确认的打开状态;
- 任一路相机平均帧率低于 27 FPS;
- 任一路相机硬件帧号丢失率超过 1%,或采样后的重复/跳帧比例超过 1%;
- 任一采样图像年龄超过 50 ms,或两路图像主机时间差超过 50 ms;
- 图像形状、数据类型或 RGB 通道约定错误;
- 录制中按 A
- HDF5 写入失败、磁盘空间不足或有界写入队列持续积压;
- Ctrl+C、采集节点异常退出或启动时恢复崩溃残留文件。
采集节点的拒绝只处理数据,不额外发送停止或运动命令。若原因来自控制故障,仍由
现有遥操安全链路执行原有安全停止。
### 允许但记录告警的情况
QP 求解偶发失败时,现有逻辑保留上次有效关节目标。只要该保持目标最终成功发送、
反馈和其他质量规则正常,就不自动拒绝 episode,而是保存:
- QP 失败样本数;
- 失败占比;
- 最长连续失败样本数;
- 每个样本的 `qp_success`
工作空间限位、TCP 步长限制或关节速度/加速度限制生效同样只记录,不自动拒绝。
这些限制是正常安全控制的一部分。
## 文件编号、保存、拒绝与恢复
正式编号只扫描任务目录根部的 `episode_<数字>.hdf5`,取最大编号加一:
```text
已有 episode_0.hdf5 ... episode_9.hdf5
重启后下一个正式文件仍为 episode_10.hdf5
```
不填补编号空洞,绝不覆盖已有正式文件。任务目录使用标准库文件锁保证同一时刻只有
一个采集进程分配编号和写入;临时文件与目标文件位于同一文件系统,检查通过后使用
不覆盖已有目标的原子发布方式。
文件生命周期:
```text
录制中:
/home/robot/ACT_Data/tomato_pick/episode_10.partial.hdf5
检查通过:
/home/robot/ACT_Data/tomato_pick/episode_10.hdf5
检查失败:
/home/robot/ACT_Data/tomato_pick/rejected/
episode_10_<reason>_<timestamp>.hdf5
```
- 只有正式保存成功才消耗编号;
- 手动长按 Y 丢弃时关闭并删除当前临时文件,不生成拒绝文件;
- 普通质量拒绝转入 `rejected/`,不消耗正式编号;
- Ctrl+C 时尽力关闭可读 HDF5,根属性写入 `interrupted=true`,文件名原因使用
`interrupted`
- 下次启动先处理遗留临时文件:可读文件转入 `rejected/` 并标记
`crash_recovered`,不可读文件改成带时间戳的 `.partial.hdf5` 保留;
- 拒绝原因同时写入文件名和根属性;
- 任一步出现目标文件冲突时停止保存并报警,不能覆盖或自动删除已有 episode。
写入采用单独工作线程和有界队列,ROS 回调只完成取样、对齐和入队。队列容量只需
覆盖短暂磁盘抖动,不能无限增长掩盖磁盘吞吐不足;持续积压时拒绝数据。
## 启动、配置与依赖
继续使用唯一入口 `xr_rm_bringup/launch/arm_debug.launch.py`,新增参数:
```text
record_act:=false
```
默认 `false`,现有 mock、单臂、双臂和 MuJoCo 启动行为不变。第一阶段唯一允许的
采集组合为:
```bash
ros2 launch xr_rm_bringup arm_debug.launch.py \
arm:=right use_mock:=false record_act:=true
```
`record_act:=true` 配合 `arm:=left|both``use_mock:=true` 时,在 launch 参数校验
阶段明确拒绝。ACT 采集节点退出不触发整个 launch 的 `Shutdown`,保证数据进程故障
不会终止遥操;终端必须清晰显示采集已经不可用。
新增一份专用 YAML,集中保存:
- 数据根目录和任务名;
- 两个相机序列号、分辨率和帧率;
- 30 Hz 采样率、2 秒最短时长和 60 秒最长时长;
- 相机、反馈、磁盘和时间对齐质量阈值;
- PICO 左右话题、原子采样话题和状态话题。
硬件相关阈值保留为配置项,核心 HDF5 字段顺序和 8 维语义固定,不为未来可能的
变体增加插件或通用框架。
采集节点继续由 `/home/robot/miniconda3/envs/xr/bin/python` 启动。复用该环境已有的
`pyrealsense2` 和 NumPy,只在该环境增加 HDF5 必需依赖 `h5py`;不修改系统 Python
不新增 Conda 环境,也不增加 OpenCV 依赖。依赖缺失时节点应在打开相机或创建文件前
给出明确错误。
## 最小代码范围
预计只修改或新增以下位置:
- `xr_rm_interfaces/msg/ActControlSample.msg`:原子消息;
- `xr_rm_interfaces/CMakeLists.txt``package.xml`:生成并导出消息;
- `xr_rm_teleop/xr_rm_teleop/single_arm_velocity_teleop.py`:发布原子样本、跟踪夹爪
请求/成功状态和 A 键事件;
- `xr_rm_teleop/xr_rm_teleop/fun_peripheral.py`:把请求的初始工具状态明确改为完全
打开;
- `xr_rm_teleop/xr_rm_teleop/act_episode_recorder.py`:独立采集节点;
- `xr_rm_teleop/setup.py``package.xml`:安装入口和 ROS 运行依赖声明;
- `xr_rm_bringup/config/act_tomato_pick.yaml`:采集与硬件参数;
- `xr_rm_bringup/config/peripherals_rm75.yaml`:只为右臂启用初始化打开;
- `xr_rm_bringup/launch/arm_debug.launch.py`:默认关闭的 `record_act` 启动分支;
- 现有测试目录中的最小相关测试。
不改左臂/双臂运动参数,不改变 `left_arm_teleop``right_arm_teleop` 节点名,不创建
第二个相机包、训练包或数据工具包。
## 测试与验收
### 自动化验证
测试全部使用 mock、假适配器、合成相机帧和临时目录,不连接真机、不移动机械臂、
不操作真实夹爪:
- 原子消息中的 `q_actual`、QP 输出和最终 `q_target` 来自同一控制周期;
- QP 失败时记录失败并保持上次目标,不自动拒绝;
- 发送失败、夹爪失败和 A 键误触触发拒绝;
- Trigger 请求立即改变 `action[7]`,成功返回后才改变 `qpos[7]`
- B/Y/Grip 的边沿、长按、忽略条件和所有状态转换正确;
- 从首次有效样本开始按控制序号每 3 个周期取 1 个;
- 相机只选择不晚于控制时间的最新帧,并能发现过期、偏斜和帧号异常;
- Grip 中途暂停保留,最终松开到 B 的等待段正确裁剪;
- HDF5 核心路径、形状、dtype、8 维顺序、根属性和 debug 字段正确;
- 变量长度、最短/最长限制、质量拒绝、手动丢弃和 Ctrl+C 正确;
- 编号从最大正式编号加一,拒绝不占号,已有文件不被覆盖;
- 可读和不可读崩溃残留分别按设计恢复;
- `record_act` 默认关闭,非法 arm/mock 组合被 launch 拒绝;
- mock 模式不会导入或调用 RealMan SDK、RealSense 或 HDF5 采集链路。
按照仓库要求,构建和测试从工作空间根目录执行:
```bash
cd /home/robot/WS_xr
source /opt/ros/humble/setup.bash
colcon build --symlink-install
pytest src/xr_rm_teleop/test/test_orientation_control.py
```
实施时还应运行新增测试及受影响的现有关节控制、初始位姿和外设配置测试。未看到
实际通过输出前不得声称验证通过。
### 真机手工验收
真机验收必须由用户明确授权并在现有安全检查完成后进行,至少验证:
1. 启动后右臂夹爪完全打开,状态未在命令成功前提前标记;
2. 两台相机序列号和画面角色正确,持续 30 FPS 左右;
3. B 开始、Grip 激活、B 结束、Y 丢弃和 A 误触拒绝符合状态机;
4. 正常采摘文件包含完整抓取、搬运和释放,不包含 A 键回位;
5. `qpos/action` 是有限的 `(T,8)` `float32`,图像是两路
`(T,480,640,3)` `uint8`
6. QP 短暂失败只增加 debug 计数,成功调整后仍可完成 episode;
7. 重启后编号继续递增,丢弃和拒绝不会覆盖或占用正式编号;
8. Ctrl+C、相机断流和磁盘不足产生带明确原因的拒绝文件;
9. ACT 采集节点退出后,遥操安全链路仍按现有行为运行。
## 后续训练与推理影响
本设计生成 ALOHA/ACT 风格的核心数据,但原始 ACT 代码通常把状态维度硬编码为
双臂 14 维,并可能假设固定 episode 长度。训练阶段需要单独适配:
- `state_dim=8`
- 两个相机名 `cam_high``cam_right_wrist`
- 变量长度 episode 的 padding 和 mask
- `chunk_size≈60`
- 不使用 `action[t-1]` 旧补丁;
- 忽略 `/debug`,除非用于筛选或诊断。
实时推理只负责从初始位姿执行一次采摘到释放。回初始位姿继续调用当前确定性的
`rm_movej`,由未来的上层任务状态机协调,避免让一个低层策略混合两种动作接口和
任务阶段。
+33
View File
@@ -0,0 +1,33 @@
act_episode_recorder:
ros__parameters:
output_root: /home/robot/ACT_Data
task_name: tomato_pick
control_sample_topic: /xr_rm/right_rm75/act_control_sample
right_controller_topic: /xr/right_controller
left_controller_topic: /xr/left_controller
status_topic: /act/recording_status
cam_high_serial: "234222303366"
cam_high_model: D455
cam_right_wrist_serial: "412622272532"
cam_right_wrist_model: D405
image_width: 640
image_height: 480
camera_fps: 30
camera_warmup_sec: 5.0
control_rate_hz: 90.0
sample_rate_hz: 30.0
min_samples: 60
max_samples: 1800
min_control_hz: 27.0
max_control_gap_ms: 100.0
min_camera_fps: 27.0
max_drop_ratio: 0.01
max_feedback_age_ms: 50.0
max_camera_age_ms: 50.0
max_camera_skew_ms: 50.0
min_free_space_gib: 4.0
y_hold_sec: 1.0
gripper_completion_timeout_sec: 3.0
writer_queue_size: 8
@@ -27,3 +27,4 @@ arms:
scissorgripper: 0
right:
scissorgripper: 1
set_initial_tool_state: true
+31
View File
@@ -80,6 +80,29 @@ def _validate_mujoco_mode(arm: str, use_mujoco: bool) -> None:
raise ValueError("use_mujoco:=true requires arm:=both")
def _validate_act_mode(
arm: str,
use_mock: bool,
record_act: bool,
) -> None:
if record_act and (arm != "right" or use_mock):
raise ValueError(
"record_act:=true requires arm:=right use_mock:=false"
)
def _act_recorder_node() -> Node:
"""创建独立 ACT 数据采集节点;退出时不终止遥操作。"""
return Node(
package="xr_rm_teleop",
executable="act_episode_recorder",
name="act_episode_recorder",
output="screen",
prefix=[XR_PYTHON],
parameters=[_config_file("act_tomato_pick.yaml")],
)
def _single_arm_node(
arm: str,
use_mock: bool,
@@ -164,10 +187,14 @@ def _launch_setup(context, *args, **kwargs):
use_mujoco = _as_bool(
LaunchConfiguration("use_mujoco").perform(context)
)
record_act = _as_bool(
LaunchConfiguration("record_act").perform(context)
)
if arm not in ("left", "right", "both"):
raise ValueError("arm must be one of: left, right, both")
_validate_mujoco_mode(arm, use_mujoco)
_validate_act_mode(arm, use_mock, record_act)
nodes = [_udp_receiver_node()]
if arm == "both":
@@ -176,6 +203,8 @@ def _launch_setup(context, *args, **kwargs):
nodes.append(_single_arm_node(arm, use_mock))
if use_mujoco:
nodes.append(_mujoco_node())
if record_act:
nodes.append(_act_recorder_node())
return nodes
@@ -187,6 +216,8 @@ def generate_launch_description() -> LaunchDescription:
DeclareLaunchArgument("use_mock", default_value="true"),
# true 时额外启动只读 MuJoCo 双臂显示,默认不改变现有启动行为。
DeclareLaunchArgument("use_mujoco", default_value="false"),
# true 时只允许右臂真机,并启动独立 ACT 数据采集节点。
DeclareLaunchArgument("record_act", default_value="false"),
# UDP 监听参数,需要与 PICO 端或 sample_udp_sender 保持一致。
DeclareLaunchArgument("udp_host", default_value="0.0.0.0"),
DeclareLaunchArgument("udp_port", default_value="15000"),
@@ -41,3 +41,37 @@ def test_udp_receiver_exit_shuts_down_launch() -> None:
receiver = arm_debug_launch._udp_receiver_node()
assert isinstance(receiver._ExecuteLocal__on_exit, Shutdown)
def test_act_recording_is_disabled_by_default() -> None:
description = arm_debug_launch.generate_launch_description()
arguments = {
entity.name: entity
for entity in description.entities
if isinstance(entity, DeclareLaunchArgument)
}
assert perform_substitutions(
LaunchContext(),
arguments["record_act"].default_value,
) == "false"
@pytest.mark.parametrize(
("arm", "use_mock"),
[("left", False), ("both", False), ("right", True)],
)
def test_act_recording_rejects_unsupported_modes(arm, use_mock) -> None:
with pytest.raises(ValueError, match="arm:=right use_mock:=false"):
arm_debug_launch._validate_act_mode(arm, use_mock, True)
def test_act_recording_accepts_right_real_mode() -> None:
arm_debug_launch._validate_act_mode("right", False, True)
arm_debug_launch._validate_act_mode("both", True, False)
def test_act_recorder_exit_does_not_shutdown_teleoperation() -> None:
recorder = arm_debug_launch._act_recorder_node()
assert recorder._ExecuteLocal__on_exit is None
+1
View File
@@ -11,6 +11,7 @@ find_package(rosidl_default_generators REQUIRED)
find_package(std_msgs REQUIRED)
rosidl_generate_interfaces(${PROJECT_NAME}
"msg/ActControlSample.msg"
"msg/XrController.msg"
DEPENDENCIES geometry_msgs std_msgs
)
+41
View File
@@ -0,0 +1,41 @@
std_msgs/Header header
uint64 control_seq
int64 control_monotonic_ns
int64 feedback_monotonic_ns
int64 action_monotonic_ns
float32 feedback_age_ms
float32 qp_duration_ms
float64[7] q_actual
float64[7] q_qp_raw
float64[7] q_target
float64[7] joint_lower_limits
float64[7] joint_upper_limits
geometry_msgs/Pose tcp_current
geometry_msgs/Pose tcp_raw_target
geometry_msgs/Pose tcp_target
geometry_msgs/Twist tcp_command_velocity
geometry_msgs/Pose pico_pose
bool pico_grip
float32 pico_trigger
bool pico_primary
bool pico_secondary
float32[2] pico_axis
bool gripper_target_open
bool gripper_state_open
bool gripper_state_known
bool gripper_command_pending
bool gripper_command_failed
bool teleop_active
bool feedback_valid
bool action_valid
bool command_sent
bool qp_attempted
bool qp_success
bool target_clamped
bool control_fault
+3 -1
View File
@@ -55,7 +55,9 @@ setup(
tests_require=["pytest"],
entry_points={
"console_scripts": [
"single_arm_velocity_teleop = xr_rm_teleop.single_arm_velocity_teleop:main",
"act_episode_recorder = xr_rm_teleop.act_episode_recorder:main",
"single_arm_velocity_teleop = "
"xr_rm_teleop.single_arm_velocity_teleop:main",
],
},
)
@@ -0,0 +1,194 @@
from types import SimpleNamespace
import numpy as np
import pytest
from builtin_interfaces.msg import Time as TimeMsg
from xr_rm_interfaces.msg import XrController
from xr_rm_teleop.single_arm_velocity_teleop import (
SingleArmVelocityTeleop,
_ActCycleContext,
)
class FakePublisher:
def __init__(self, error=None) -> None:
self.error = error
self.messages = []
def publish(self, message) -> None:
if self.error is not None:
raise self.error
self.messages.append(message)
class FakeLogger:
def __init__(self) -> None:
self.warnings = []
def warn(self, message, **kwargs) -> None:
del kwargs
self.warnings.append(message)
def _controller(*, grip=True) -> XrController:
message = XrController()
message.hand = "right"
message.grip = grip
message.trigger = 0.25
message.primary = False
message.secondary = False
message.axis = [0.1, -0.2]
message.pose.orientation.w = 1.0
return message
def _teleop(*, last_target=None, tool_state=True):
teleop = object.__new__(SingleArmVelocityTeleop)
teleop._arm_name = "right_rm75"
teleop._last_msg = _controller()
teleop._active = True
teleop._control_fault_latched = False
teleop._last_current_pose = np.eye(4)
teleop._robot_start_transform = None
teleop._last_sent_target = None
teleop._last_sent_orientation = None
teleop._last_successful_action_target = last_target
teleop._ik_solver = SimpleNamespace(
joint_position_limits=np.asarray([[-1.0, 1.0]] * 7)
)
teleop._tool_state_snapshot = lambda: (
True,
tool_state,
False,
False,
)
teleop.get_clock = lambda: SimpleNamespace(
now=lambda: SimpleNamespace(to_msg=lambda: TimeMsg())
)
teleop.get_logger = lambda: FakeLogger()
return teleop
def _cycle(**overrides) -> _ActCycleContext:
values = {
"control_seq": 100,
"control_monotonic_ns": 1_000_000_000,
"feedback_monotonic_ns": 990_000_000,
"action_monotonic_ns": 1_005_000_000,
"feedback_age_ms": 10.0,
"q_actual": [0.1] * 7,
"q_qp_raw": [0.3] * 7,
"q_target": [0.2] * 7,
"current_pose": np.eye(4),
"raw_target_pose": np.eye(4),
"target_pose": np.eye(4),
"command_velocity": [0.0] * 6,
"feedback_valid": True,
"command_sent": True,
"qp_attempted": True,
"qp_success": True,
}
values.update(overrides)
return _ActCycleContext(**values)
def test_act_sample_uses_feedback_and_limited_target_from_one_cycle() -> None:
teleop = _teleop(last_target=[0.2] * 7)
message = teleop._build_act_control_sample(_cycle())
assert message.control_seq == 100
assert message.q_actual == pytest.approx([0.1] * 7)
assert message.q_qp_raw == pytest.approx([0.3] * 7)
assert message.q_target == pytest.approx([0.2] * 7)
assert message.joint_lower_limits == pytest.approx([-1.0] * 7)
assert message.joint_upper_limits == pytest.approx([1.0] * 7)
assert message.command_sent
assert message.action_valid
assert message.qp_attempted
assert message.qp_success
def test_act_sample_marks_qp_fallback_as_valid_held_action() -> None:
teleop = _teleop(last_target=[0.2] * 7)
cycle = _cycle(
q_qp_raw=[0.2] * 7,
q_target=[0.2] * 7,
qp_success=False,
)
message = teleop._build_act_control_sample(cycle)
assert message.q_target == pytest.approx([0.2] * 7)
assert message.action_valid
assert message.qp_attempted
assert not message.qp_success
def test_act_sample_holds_last_action_while_grip_is_released() -> None:
teleop = _teleop(last_target=[0.4] * 7)
teleop._last_msg = _controller(grip=False)
teleop._active = False
cycle = _cycle(
q_qp_raw=None,
q_target=None,
command_sent=False,
qp_attempted=False,
qp_success=False,
action_monotonic_ns=-1,
)
message = teleop._build_act_control_sample(cycle)
assert message.q_target == pytest.approx([0.4] * 7)
assert message.action_valid
assert not message.command_sent
assert not message.teleop_active
def test_act_sample_marks_send_failure_invalid() -> None:
teleop = _teleop(last_target=[0.4] * 7)
message = teleop._build_act_control_sample(
_cycle(send_failed=True, command_sent=False)
)
assert not message.action_valid
def test_act_sample_marks_unknown_gripper_state() -> None:
teleop = _teleop(last_target=[0.2] * 7, tool_state=None)
message = teleop._build_act_control_sample(_cycle())
assert not message.gripper_state_known
def test_act_sample_publish_failure_does_not_escape_control_path() -> None:
teleop = _teleop(last_target=[0.2] * 7)
logger = FakeLogger()
teleop._act_sample_pub = FakePublisher(RuntimeError("dds failed"))
teleop.get_logger = lambda: logger
teleop._publish_act_control_sample(_cycle())
assert logger.warnings == [
"right_rm75 ACT原子样本发布失败:dds failed"
]
def test_control_tick_wraps_one_impl_call_in_one_atomic_sample() -> None:
teleop = object.__new__(SingleArmVelocityTeleop)
cycles = []
published = []
teleop._act_control_seq = 7
teleop._control_tick_impl = lambda cycle: cycles.append(cycle)
teleop._publish_act_control_sample = lambda cycle: published.append(cycle)
teleop._control_tick()
assert len(cycles) == 1
assert published == cycles
assert cycles[0].control_seq == 7
assert teleop._act_control_seq == 8
@@ -0,0 +1,882 @@
import queue
import threading
from types import SimpleNamespace
import numpy as np
import pytest
try:
import h5py
except ImportError:
h5py = None
from xr_rm_interfaces.msg import ActControlSample, XrController
from xr_rm_teleop.act_episode_recorder import (
NO_ACTION,
ActEpisodeRecorder,
ButtonTracker,
CameraBuffer,
CameraFrame,
EpisodeMetadata,
EpisodeStore,
EpisodeWriter,
QualityError,
QualityLimits,
RecordingSession,
RecordingState,
TaskDirectoryLock,
discard_partial,
next_episode_index,
publish_without_overwrite,
recover_partial_files,
select_camera_pair,
select_frame,
validate_episode,
)
def _recording_session(*, origin_seq=10, max_samples=1800):
session = RecordingSession(max_samples=max_samples)
session.arm()
decision = session.on_control(
origin_seq,
grip=True,
action_valid=True,
command_sent=True,
)
assert decision.record_sample
return session
def test_recording_starts_on_first_sent_grip_action_and_downsamples():
session = RecordingSession(max_samples=1800)
session.arm()
assert session.on_control(
100,
grip=False,
action_valid=True,
command_sent=False,
) == NO_ACTION
assert session.on_control(
101,
grip=True,
action_valid=True,
command_sent=False,
) == NO_ACTION
first = session.on_control(
102,
grip=True,
action_valid=True,
command_sent=True,
)
second = session.on_control(
103,
grip=True,
action_valid=True,
command_sent=True,
)
session.on_control(
104,
grip=True,
action_valid=True,
command_sent=True,
)
third = session.on_control(
105,
grip=True,
action_valid=True,
command_sent=True,
)
assert first.record_sample
assert not second.record_sample
assert third.record_sample
assert session.sample_origin_seq == 102
def test_final_grip_release_marks_crop_point_but_mid_pause_is_kept():
session = _recording_session(origin_seq=10)
session.on_control(11, grip=True, action_valid=True, command_sent=True)
session.on_control(12, grip=True, action_valid=True, command_sent=True)
session.on_control(13, grip=False, action_valid=True, command_sent=False)
first_crop = session.candidate_end_count
assert first_crop == 2
session.on_control(14, grip=True, action_valid=True, command_sent=False)
assert session.candidate_end_count is None
session.on_control(15, grip=True, action_valid=True, command_sent=True)
session.on_control(16, grip=False, action_valid=True, command_sent=False)
assert session.candidate_end_count == 3
def test_finish_waits_for_control_sample_after_b_request():
session = _recording_session(origin_seq=10)
session.on_control(11, grip=False, action_valid=True, command_sent=False)
session.request_finish()
decision = session.on_control(
12,
grip=False,
action_valid=True,
command_sent=False,
)
assert decision.finish
assert session.candidate_end_count == 1
def test_missing_control_sequence_rejects_recording():
session = _recording_session(origin_seq=10)
session.on_control(11, grip=True, action_valid=True, command_sent=True)
decision = session.on_control(
13,
grip=True,
action_valid=True,
command_sent=True,
)
assert decision.reject_reason == "control_sequence_gap"
def test_max_samples_rejects_without_stopping_robot():
session = _recording_session(origin_seq=10, max_samples=2)
session.on_control(11, grip=True, action_valid=True, command_sent=True)
session.on_control(12, grip=True, action_valid=True, command_sent=True)
decision = session.on_control(
13,
grip=True,
action_valid=True,
command_sent=True,
)
assert decision.reject_reason == "max_duration"
def test_right_b_is_ignored_while_grip_is_pressed():
tracker = ButtonTracker(hold_ns=1_000_000_000)
tracker.on_right(False, False, False, 0, RecordingState.IDLE)
events = tracker.on_right(
False,
True,
True,
1,
RecordingState.IDLE,
)
assert not events.right_b
def test_left_y_requires_new_press_inside_active_recording_state():
tracker = ButtonTracker(hold_ns=1_000_000_000)
tracker.on_left(True, 0, RecordingState.IDLE)
assert not tracker.on_left(
True,
2_000_000_000,
RecordingState.RECORDING,
).discard
tracker.on_left(False, 2_100_000_000, RecordingState.RECORDING)
tracker.on_left(True, 3_000_000_000, RecordingState.RECORDING)
assert not tracker.on_left(
True,
3_999_999_999,
RecordingState.RECORDING,
).discard
assert tracker.on_left(
True,
4_000_000_000,
RecordingState.RECORDING,
).discard
assert not tracker.on_left(
True,
5_000_000_000,
RecordingState.RECORDING,
).discard
def test_right_a_reports_recording_rejection_event():
tracker = ButtonTracker(hold_ns=1_000_000_000)
tracker.on_right(False, False, False, 0, RecordingState.RECORDING)
events = tracker.on_right(
True,
False,
False,
1,
RecordingState.RECORDING,
)
assert events.reject_reason == "initial_pose_command_during_episode"
def _image(value, *, shape=(480, 640, 3), dtype=np.uint8):
return np.full(shape, value, dtype=dtype)
def test_select_frame_returns_latest_frame_not_after_control_time():
frames = (
CameraFrame(_image(1), 10, 100.0, 900_000_000),
CameraFrame(_image(2), 11, 133.3, 933_000_000),
CameraFrame(_image(3), 12, 166.6, 1_010_000_000),
)
selected, age_ms = select_frame(frames, 1_000_000_000, 100.0)
assert selected.frame_number == 11
assert age_ms == pytest.approx(67.0, abs=0.1)
def test_select_frame_rejects_missing_old_and_invalid_images():
with pytest.raises(QualityError, match="camera_frame_missing"):
select_frame((), 1_000_000_000, 50.0)
with pytest.raises(QualityError, match="camera_frame_too_old"):
select_frame(
(CameraFrame(_image(1), 10, 100.0, 900_000_000),),
1_000_000_000,
50.0,
)
with pytest.raises(QualityError, match="camera_frame_format"):
select_frame(
(
CameraFrame(
_image(1, shape=(10, 10, 3)),
10,
100.0,
990_000_000,
),
),
1_000_000_000,
50.0,
)
def test_select_camera_pair_rejects_inter_camera_skew():
high = (CameraFrame(_image(1), 10, 100.0, 990_000_000),)
wrist = (CameraFrame(_image(2), 20, 100.0, 930_000_000),)
with pytest.raises(QualityError, match="camera_skew"):
select_camera_pair(
high,
wrist,
1_000_000_000,
max_age_ms=100.0,
max_skew_ms=50.0,
)
def test_camera_buffer_is_bounded_and_counts_dropped_frames():
buffer = CameraBuffer(maxlen=4)
for frame_number in (10, 11, 13, 14, 15):
buffer.push(
CameraFrame(
_image(frame_number),
frame_number,
float(frame_number),
frame_number * 1_000_000,
)
)
stats = buffer.stats()
assert [frame.frame_number for frame in buffer.snapshot()] == [
11,
13,
14,
15,
]
assert stats.frame_count == 5
assert stats.dropped_frames == 1
assert stats.drop_ratio == pytest.approx(1.0 / 6.0)
assert stats.fps == pytest.approx(800.0)
requires_h5py = pytest.mark.skipif(
h5py is None,
reason="h5py is not installed",
)
def _metadata():
return EpisodeMetadata(
joint_names=tuple(f"joint_{index}" for index in range(1, 8))
+ ("gripper",),
joint_lower_limits=np.full(7, -3.0, dtype=np.float64),
joint_upper_limits=np.full(7, 3.0, dtype=np.float64),
)
def _episode_sample(seq):
control_ns = seq * 11_111_111
qpos = np.zeros(8, dtype=np.float32)
qpos[-1] = 1.0
action = qpos.copy()
return {
"observations/qpos": qpos,
"action": action,
"observations/images/cam_high": _image(seq % 255),
"observations/images/cam_right_wrist": _image((seq + 1) % 255),
"debug/timestamps/control_monotonic_ns": control_ns,
"debug/timestamps/feedback_monotonic_ns": control_ns - 1_000_000,
"debug/timestamps/action_monotonic_ns": control_ns,
"debug/timestamps/cam_high_host_monotonic_ns": control_ns - 2_000_000,
"debug/timestamps/cam_wrist_host_monotonic_ns": control_ns - 3_000_000,
"debug/timestamps/cam_high_hardware_ms": float(seq),
"debug/timestamps/cam_wrist_hardware_ms": float(seq),
"debug/timestamps/cam_high_age_ms": 2.0,
"debug/timestamps/cam_wrist_age_ms": 3.0,
"debug/timestamps/inter_camera_skew_ms": 1.0,
"debug/cameras/cam_high_frame_number": seq,
"debug/cameras/cam_wrist_frame_number": seq,
"debug/control/control_seq": seq,
"debug/control/teleop_active": 1,
"debug/control/action_valid": 1,
"debug/control/command_sent": 1,
"debug/control/target_clamped": 0,
"debug/control/control_fault": 0,
"debug/qp/raw_target": np.zeros(7, dtype=np.float32),
"debug/qp/attempted": 1,
"debug/qp/success": 1,
"debug/qp/duration_ms": 1.0,
"debug/tcp/current_pose": np.zeros(7, dtype=np.float32),
"debug/tcp/raw_target_pose": np.zeros(7, dtype=np.float32),
"debug/tcp/final_target_pose": np.zeros(7, dtype=np.float32),
"debug/tcp/command_velocity": np.zeros(6, dtype=np.float32),
"debug/pico/right_pose": np.zeros(7, dtype=np.float32),
"debug/pico/right_inputs": np.zeros(6, dtype=np.float32),
"debug/pico/left_secondary": 0,
"debug/gripper/target_open": 1,
"debug/gripper/state_open": 1,
"debug/gripper/command_pending": 0,
"debug/gripper/command_failed": 0,
}
@requires_h5py
def test_episode_store_writes_act_core_schema(tmp_path):
store = EpisodeStore.create(
tmp_path / "episode_0.partial.hdf5",
_metadata(),
)
for seq in (100, 103, 106):
store.append(_episode_sample(seq))
store.close()
with h5py.File(store.path, "r") as root:
assert root.attrs["sim"] == np.bool_(False)
assert root.attrs["action_alignment"] == "same_step_causal"
assert root["observations/qpos"].shape == (3, 8)
assert root["observations/qpos"].dtype == np.float32
assert root["action"].shape == (3, 8)
assert root["action"].dtype == np.float32
assert root["observations/images/cam_high"].shape == (
3,
480,
640,
3,
)
assert root["observations/images/cam_high"].dtype == np.uint8
assert root["observations/images/cam_right_wrist"].shape == (
3,
480,
640,
3,
)
assert "observations/qvel" not in root
assert "observations/effort" not in root
assert "compress_len" not in root
@requires_h5py
def test_episode_store_truncates_every_time_axis_dataset(tmp_path):
store = EpisodeStore.create(
tmp_path / "episode_0.partial.hdf5",
_metadata(),
)
for seq in (100, 103, 106):
store.append(_episode_sample(seq))
store.truncate(2)
store.close()
lengths = []
with h5py.File(store.path, "r") as root:
root.visititems(
lambda _name, item: lengths.append(item.shape[0])
if isinstance(item, h5py.Dataset)
else None
)
assert lengths
assert set(lengths) == {2}
def test_next_index_uses_max_saved_episode_and_ignores_rejected(tmp_path):
(tmp_path / "episode_2.hdf5").touch()
(tmp_path / "episode_9.hdf5").touch()
rejected = tmp_path / "rejected"
rejected.mkdir()
(rejected / "episode_20_bad_20260810.hdf5").touch()
assert next_episode_index(tmp_path) == 10
def test_publish_never_overwrites_existing_episode(tmp_path):
partial = tmp_path / "episode_1.partial.hdf5"
partial.write_bytes(b"new")
final = tmp_path / "episode_1.hdf5"
final.write_bytes(b"old")
with pytest.raises(FileExistsError):
publish_without_overwrite(partial, final)
assert final.read_bytes() == b"old"
assert partial.read_bytes() == b"new"
@requires_h5py
def test_recover_marks_readable_and_preserves_unreadable_partial(tmp_path):
readable = tmp_path / "episode_1.partial.hdf5"
store = EpisodeStore.create(readable, _metadata())
store.append(_episode_sample(100))
store.close()
unreadable = tmp_path / "episode_2.partial.hdf5"
unreadable.write_bytes(b"not hdf5")
recovered = recover_partial_files(tmp_path, timestamp="20260810T120000")
assert len(recovered) == 2
rejected = tmp_path / "rejected" / (
"episode_1_crash_recovered_20260810T120000.hdf5"
)
assert rejected in recovered
with h5py.File(rejected, "r") as root:
assert root.attrs["episode_status"] == "rejected"
assert root.attrs["reject_reason"] == "crash_recovered"
assert root.attrs["interrupted"] == np.bool_(True)
assert not readable.exists()
assert any(path.name.endswith(".partial.hdf5") for path in recovered)
assert unreadable not in recovered
assert not unreadable.exists()
def test_discard_partial_removes_only_current_file(tmp_path):
current = tmp_path / "episode_1.partial.hdf5"
current.write_bytes(b"current")
saved = tmp_path / "episode_0.hdf5"
saved.write_bytes(b"saved")
discard_partial(current)
assert not current.exists()
assert saved.read_bytes() == b"saved"
assert next_episode_index(tmp_path) == 1
def test_task_directory_lock_rejects_second_recorder(tmp_path):
first = TaskDirectoryLock(tmp_path)
second = TaskDirectoryLock(tmp_path)
first.acquire()
try:
with pytest.raises(BlockingIOError):
second.acquire()
finally:
first.release()
def _quality_limits():
return QualityLimits(min_samples=3, max_samples=100)
def _valid_episode(tmp_path):
path = tmp_path / "episode_0.partial.hdf5"
store = EpisodeStore.create(path, _metadata())
for index, seq in enumerate((100, 103, 106)):
sample = _episode_sample(seq)
sample["debug/cameras/cam_high_frame_number"] = 200 + index
sample["debug/cameras/cam_wrist_frame_number"] = 300 + index
store.append(sample)
store.close()
with h5py.File(path, "r+") as root:
root.attrs["camera_high_fps"] = 30.0
root.attrs["camera_right_wrist_fps"] = 30.0
root.attrs["camera_high_drop_ratio"] = 0.0
root.attrs["camera_right_wrist_drop_ratio"] = 0.0
return path
@requires_h5py
def test_validate_episode_accepts_valid_file(tmp_path):
report = validate_episode(_valid_episode(tmp_path), _quality_limits())
assert report.accepted
assert report.reason is None
assert report.metrics["control_hz"] == pytest.approx(30.0, rel=1e-5)
def _mutate_episode(path, mutation):
with h5py.File(path, "r+") as root:
if mutation == "short_episode":
root.visititems(
lambda _name, item: item.resize(2, axis=0)
if isinstance(item, h5py.Dataset)
else None
)
elif mutation == "control_seq_gap":
root["debug/control/control_seq"][1] = 104
elif mutation == "nonfinite_qpos":
root["observations/qpos"][1, 0] = np.nan
elif mutation == "joint_limit":
root["action"][1, 0] = 4.0
elif mutation == "invalid_gripper":
root["action"][1, 7] = 0.5
elif mutation == "feedback_age":
control_ns = root["debug/timestamps/control_monotonic_ns"][1]
root["debug/timestamps/feedback_monotonic_ns"][1] = (
control_ns - 60_000_000
)
elif mutation == "action_invalid":
root["debug/control/action_valid"][1] = 0
elif mutation == "control_fault":
root["debug/control/control_fault"][1] = 1
elif mutation == "camera_fps":
root.attrs["camera_high_fps"] = 20.0
elif mutation == "camera_drop":
root.attrs["camera_right_wrist_drop_ratio"] = 0.02
elif mutation == "camera_age":
root["debug/timestamps/cam_high_age_ms"][1] = 60.0
elif mutation == "camera_skew":
root["debug/timestamps/inter_camera_skew_ms"][1] = 60.0
elif mutation == "final_gripper_closed":
root["observations/qpos"][-1, 7] = 0.0
else:
raise AssertionError(f"unknown mutation: {mutation}")
@requires_h5py
@pytest.mark.parametrize(
("mutation", "reason"),
[
("short_episode", "too_few_samples"),
("control_seq_gap", "control_sequence_gap"),
("nonfinite_qpos", "nonfinite_qpos"),
("joint_limit", "joint_limit_violation"),
("invalid_gripper", "invalid_gripper_state"),
("feedback_age", "feedback_too_old"),
("action_invalid", "invalid_action"),
("control_fault", "control_fault"),
("camera_fps", "camera_fps"),
("camera_drop", "camera_drop_ratio"),
("camera_age", "camera_frame_too_old"),
("camera_skew", "camera_skew"),
("final_gripper_closed", "final_gripper_not_open"),
],
)
def test_validate_episode_reports_stable_reason(
tmp_path,
mutation,
reason,
):
path = _valid_episode(tmp_path)
_mutate_episode(path, mutation)
report = validate_episode(path, _quality_limits())
assert not report.accepted
assert report.reason == reason
@requires_h5py
def test_validate_episode_reports_qp_failures_without_rejecting(tmp_path):
path = _valid_episode(tmp_path)
with h5py.File(path, "r+") as root:
root["debug/qp/attempted"][:] = (1, 1, 1)
root["debug/qp/success"][:] = (0, 0, 1)
root["debug/control/target_clamped"][:] = (1, 0, 1)
report = validate_episode(path, _quality_limits())
assert report.accepted
assert report.metrics["qp_failure_count"] == 2
assert report.metrics["qp_failure_ratio"] == pytest.approx(2.0 / 3.0)
assert report.metrics["qp_longest_failure_streak"] == 2
assert report.metrics["target_clamped_count"] == 2
class _StatusPublisher:
def __init__(self):
self.messages = []
def publish(self, message):
self.messages.append(message.data)
class _Logger:
def info(self, *_args, **_kwargs):
pass
def warn(self, *_args, **_kwargs):
pass
def error(self, *_args, **_kwargs):
pass
def _control_message(seq, control_ns, *, grip=True):
message = ActControlSample()
message.control_seq = seq
message.control_monotonic_ns = control_ns
message.feedback_monotonic_ns = control_ns - 1_000_000
message.action_monotonic_ns = control_ns + 1_000_000 if grip else -1
message.q_actual = [0.0] * 7
message.q_qp_raw = [0.0] * 7
message.q_target = [0.0] * 7
message.joint_lower_limits = [-3.0] * 7
message.joint_upper_limits = [3.0] * 7
message.tcp_current.orientation.w = 1.0
message.tcp_raw_target.orientation.w = 1.0
message.tcp_target.orientation.w = 1.0
message.pico_pose.orientation.w = 1.0
message.pico_grip = grip
message.gripper_target_open = True
message.gripper_state_open = True
message.gripper_state_known = True
message.teleop_active = grip
message.feedback_valid = True
message.action_valid = True
message.command_sent = grip
message.qp_attempted = grip
message.qp_success = grip
return message
def _seed_camera(start_ns, first_number):
camera = SimpleNamespace(
buffer=CameraBuffer(maxlen=4),
last_error=None,
)
image = _image(1)
for index in range(151):
camera.buffer.push(
CameraFrame(
image,
first_number + index,
index * (1000.0 / 30.0),
start_ns
- 5_020_000_000
+ round(index * 5_000_000_000 / 150),
)
)
return camera
def _recorder_for_test(tmp_path):
now_ns = 10_000_000_000
recorder = object.__new__(ActEpisodeRecorder)
recorder._task_dir = tmp_path / "tomato_pick"
recorder._task_dir.mkdir(parents=True)
recorder._quality_limits = _quality_limits()
recorder._min_free_space_bytes = 4 * 1024**3
recorder._controller_timeout_ns = 500_000_000
recorder._camera_warmup_ns = 5_000_000_000
recorder._gripper_completion_timeout_ns = 3_000_000_000
recorder._writer_queue_size = 8
recorder._max_camera_age_ms = 50.0
recorder._max_camera_skew_ms = 50.0
recorder._session = RecordingSession(max_samples=100)
recorder._button_tracker = ButtonTracker(hold_ns=1_000_000_000)
recorder._latest_control = _control_message(99, now_ns - 1_000_000)
recorder._latest_control_received_ns = now_ns - 1_000_000
recorder._right_controller_received_ns = now_ns - 1_000_000
recorder._left_controller_received_ns = now_ns - 1_000_000
recorder._left_secondary = False
recorder._high_camera = _seed_camera(now_ns, 850)
recorder._wrist_camera = _seed_camera(now_ns, 1850)
recorder._camera_start_error = None
recorder._writer = None
recorder._store = None
recorder._partial_path = None
recorder._camera_baselines = None
recorder._saving_deadline_ns = None
recorder._status_pub = _StatusPublisher()
recorder._now_ns = lambda: now_ns
recorder._disk_usage = lambda _path: SimpleNamespace(free=5 * 1024**3)
recorder.get_logger = lambda: _Logger()
return recorder
@requires_h5py
def test_preflight_requires_open_gripper_fresh_inputs_and_disk_space(tmp_path):
recorder = _recorder_for_test(tmp_path)
assert recorder._run_preflight() is None
recorder._latest_control.gripper_state_open = False
assert recorder._run_preflight() == "gripper_not_open"
recorder._latest_control.gripper_state_open = True
recorder._right_controller_received_ns = 0
assert recorder._run_preflight() == "right_controller_stale"
recorder._right_controller_received_ns = recorder._now_ns()
recorder._disk_usage = lambda _path: SimpleNamespace(free=1024)
assert recorder._run_preflight() == "insufficient_disk_space"
def _push_recording_frames(recorder, control_ns, frame_number):
recorder._high_camera.buffer.push(
CameraFrame(
_image(2),
frame_number,
float(frame_number),
control_ns - 2_000_000,
)
)
recorder._wrist_camera.buffer.push(
CameraFrame(
_image(3),
frame_number,
float(frame_number),
control_ns - 3_000_000,
)
)
def _finish_fake_episode(recorder):
start_ns = recorder._now_ns()
frame_number = 1001
for offset, seq in enumerate(range(100, 107)):
control_ns = start_ns + offset * 11_111_111
if (seq - 100) % 3 == 0:
_push_recording_frames(recorder, control_ns, frame_number)
frame_number += 1
recorder._on_control_sample(_control_message(seq, control_ns))
recorder._on_control_sample(
_control_message(107, start_ns + 7 * 11_111_111, grip=False)
)
recorder._handle_right_b(grip=False)
final_ns = start_ns + 8 * 11_111_111
_push_recording_frames(recorder, final_ns, frame_number)
recorder._on_control_sample(_control_message(108, final_ns, grip=False))
@requires_h5py
def test_end_to_end_fake_episode_saves_and_returns_idle(tmp_path):
recorder = _recorder_for_test(tmp_path)
recorder._handle_right_b(grip=False)
assert recorder.state is RecordingState.ARMED
_finish_fake_episode(recorder)
assert (tmp_path / "tomato_pick" / "episode_0.hdf5").is_file()
assert recorder.state is RecordingState.IDLE
assert "SAVING" in recorder._status_pub.messages
assert recorder._status_pub.messages[-2:] == ["SAVED", "IDLE"]
@requires_h5py
def test_final_publish_rejects_allocated_episode_number_conflict(tmp_path):
recorder = _recorder_for_test(tmp_path)
recorder._handle_right_b(grip=False)
existing = recorder._task_dir / "episode_0.hdf5"
existing.write_bytes(b"existing")
_finish_fake_episode(recorder)
assert existing.read_bytes() == b"existing"
assert not (recorder._task_dir / "episode_1.hdf5").exists()
rejected = list((recorder._task_dir / "rejected").glob("*.hdf5"))
assert len(rejected) == 1
with h5py.File(rejected[0], "r") as root:
assert root.attrs["reject_reason"] == "episode_number_conflict"
@requires_h5py
def test_discard_and_interrupt_only_process_current_partial(tmp_path):
recorder = _recorder_for_test(tmp_path)
recorder._handle_right_b(grip=False)
partial = recorder._partial_path
recorder._discard_current()
assert not partial.exists()
assert recorder.state is RecordingState.IDLE
recorder._handle_right_b(grip=False)
recorder.interrupt_recording("interrupted")
rejected = list((recorder._task_dir / "rejected").glob("*.hdf5"))
assert len(rejected) == 1
with h5py.File(rejected[0], "r") as root:
assert root.attrs["reject_reason"] == "interrupted"
assert root.attrs["interrupted"] == np.bool_(True)
@requires_h5py
def test_a_button_and_camera_error_reject_without_robot_commands(tmp_path):
recorder = _recorder_for_test(tmp_path)
recorder._handle_right_b(grip=False)
recorder._button_tracker.on_right(
False,
False,
False,
recorder._now_ns(),
RecordingState.RECORDING,
)
recorder._session.state = RecordingState.RECORDING
controller = XrController()
controller.primary = True
recorder._on_right_controller(controller)
rejected = list((recorder._task_dir / "rejected").glob("*.hdf5"))
assert len(rejected) == 1
with h5py.File(rejected[0], "r") as root:
assert root.attrs["reject_reason"] == (
"initial_pose_command_during_episode"
)
recorder._handle_right_b(grip=False)
recorder._high_camera.last_error = RuntimeError("usb")
recorder._on_control_sample(
_control_message(100, recorder._now_ns())
)
rejected = list((recorder._task_dir / "rejected").glob("*.hdf5"))
assert len(rejected) == 2
camera_rejected = next(
path for path in rejected if "camera_error" in path.name
)
with h5py.File(camera_rejected, "r") as root:
assert root.attrs["reject_reason"] == "camera_error"
def test_episode_writer_reports_queue_backlog_and_write_error():
started = threading.Event()
release = threading.Event()
class BlockingStore:
def append(self, _sample):
started.set()
assert release.wait(timeout=1.0)
writer = EpisodeWriter(BlockingStore(), queue_size=1)
writer.submit({})
assert started.wait(timeout=1.0)
writer.submit({})
with pytest.raises(queue.Full):
writer.submit({})
release.set()
writer.finish()
assert writer.error is None
class FailingStore:
def append(self, _sample):
raise OSError("disk full")
writer = EpisodeWriter(FailingStore(), queue_size=1)
writer.submit({})
writer.finish()
assert isinstance(writer.error, OSError)
+74 -1
View File
@@ -6,13 +6,14 @@ from types import ModuleType, SimpleNamespace
import pytest
import yaml
from xr_rm_teleop import realman_adapter
from xr_rm_teleop import fun_peripheral, realman_adapter
from xr_rm_teleop.realman_adapter import RealManAdapter
from xr_rm_teleop.realman_adapter import MockRealManAdapter
from xr_rm_teleop.fun_peripheral import (
PeripheralConfig,
_configure_tool_frame,
load_peripheral_config,
peripheral_cfg,
)
@@ -82,6 +83,78 @@ def test_deployed_peripheral_config_selects_left_and_right_tools() -> None:
assert right.tool_pose == [0.0, 0.0, 0.14, 0.0, 0.0, 0.0, 1.0]
def test_right_tool_initializes_open_only_for_right_arm() -> None:
config_file = CONFIG_DIR / "peripherals_rm75.yaml"
left = load_peripheral_config(str(config_file), "left")
right = load_peripheral_config(str(config_file), "right")
assert not left.set_initial_tool_state
assert right.set_initial_tool_state
def test_omnipic_initial_state_opens_fully(monkeypatch) -> None:
calls = []
class FakeArm:
def rm_set_voltage(self, *args):
del args
def rm_set_io_mode(self, *args):
del args
def rm_algo_quaternion2euler(self, quaternion):
del quaternion
return [0.0, 0.0, 0.0]
def rm_get_total_tool_frame(self):
return {"return_code": 0, "tool_names": []}
def rm_set_manual_tool_frame(self, *, frame):
del frame
return 0
def rm_change_tool_frame(self, tool_name):
del tool_name
return 0
def rm_set_modbus_mode(self, **kwargs):
del kwargs
return 0
def rm_write_single_register(self, params, value):
del params, value
return 0
sdk = ModuleType("Robotic_Arm.rm_robot_interface")
sdk.rm_frame_t = lambda *args: object()
sdk.rm_peripheral_read_write_params_t = lambda *args: object()
package = ModuleType("Robotic_Arm")
package.rm_robot_interface = sdk
monkeypatch.setitem(sys.modules, "Robotic_Arm", package)
monkeypatch.setitem(sys.modules, "Robotic_Arm.rm_robot_interface", sdk)
monkeypatch.setattr(fun_peripheral.time, "sleep", lambda seconds: None)
monkeypatch.setattr(
fun_peripheral,
"set_tool_position",
lambda robot, percent, device, scissorgripper: calls.append(
(percent, device, scissorgripper)
),
)
tools = {
"scissor": [[0.0] * 7, [0.0] * 7],
"omnipic": [[0.0] * 7, [0.0] * 7],
}
peripheral_cfg(
FakeArm(),
1,
tools,
set_initial_tool_state=True,
)
assert calls == [(1.0, 1, 1)]
@pytest.mark.parametrize(
("config_name", "node_names"),
[
+68 -2
View File
@@ -1,4 +1,5 @@
import math
import threading
import time
from types import SimpleNamespace
@@ -42,6 +43,69 @@ class FakePublisher:
self.messages.append(message)
def _tool_state_teleop(*, command_error=None):
started = threading.Event()
release = threading.Event()
class Adapter:
def set_tool_enabled(self, open_tool):
del open_tool
started.set()
assert release.wait(timeout=1.0)
if command_error is not None:
raise command_error
teleop = object.__new__(SingleArmVelocityTeleop)
teleop._arm_name = "right_rm75"
teleop._adapter = Adapter()
teleop._tool_command_queue = None
teleop._tool_worker_stop = threading.Event()
teleop._tool_worker_thread = None
teleop._tool_state_lock = threading.Lock()
teleop._tool_target_open = True
teleop._tool_state_open = True
teleop._tool_command_pending = False
teleop._tool_command_failed = False
teleop.get_logger = lambda: FakeLogger()
teleop._start_tool_worker()
return teleop, started, release
def test_tool_state_changes_only_after_command_succeeds() -> None:
teleop, started, release = _tool_state_teleop()
try:
teleop._enqueue_tool_command(False, "test")
assert started.wait(timeout=1.0)
assert teleop._tool_state_snapshot() == (False, True, True, False)
release.set()
assert teleop._tool_command_queue is not None
teleop._tool_command_queue.join()
assert teleop._tool_state_snapshot() == (False, False, False, False)
finally:
release.set()
teleop._shutdown_tool_worker()
def test_tool_failure_keeps_previous_state_and_is_reported() -> None:
teleop, started, release = _tool_state_teleop(
command_error=RuntimeError("modbus failed")
)
try:
teleop._enqueue_tool_command(False, "test")
assert started.wait(timeout=1.0)
release.set()
assert teleop._tool_command_queue is not None
teleop._tool_command_queue.join()
assert teleop._tool_state_snapshot() == (False, True, False, True)
finally:
release.set()
teleop._shutdown_tool_worker()
def _joint_publishing_teleop() -> SingleArmVelocityTeleop:
names = [f"omnipic_joint_{index}" for index in range(1, 8)]
teleop = object.__new__(SingleArmVelocityTeleop)
@@ -622,9 +686,10 @@ 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(np.eye(4))
target, qp_success = teleop._solve_joint_target(np.eye(4))
assert target == pytest.approx([0.1] * 7)
assert not qp_success
assert teleop._last_valid_joint_target == pytest.approx([0.1] * 7)
@@ -640,9 +705,10 @@ 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(np.eye(4))
target, qp_success = teleop._solve_joint_target(np.eye(4))
assert target == pytest.approx([0.2] * 7)
assert qp_success
assert teleop._last_valid_joint_target == pytest.approx([0.2] * 7)
@@ -272,6 +272,20 @@ def test_validated_transform_rejects_invalid_se3(transform: np.ndarray) -> None:
_validated_transform(transform)
def test_joint_position_limits_returns_a_copy() -> None:
solver = object.__new__(PlacoIkSolver)
solver._joint_limits = np.asarray([[-1.0, 1.0]] * 7)
first = solver.joint_position_limits
second = solver.joint_position_limits
assert first.shape == (7, 2)
assert np.isfinite(first).all()
assert np.all(first[:, 0] < first[:, 1])
first[0, 0] = 999.0
assert second[0, 0] != 999.0
def test_qp_result_rejects_nan_position_and_velocity_violations() -> None:
solver = object.__new__(PlacoIkSolver)
solver._joint_limits = np.asarray([[-1.0, 1.0]] * 7)
File diff suppressed because it is too large Load Diff
+6 -3
View File
@@ -225,9 +225,12 @@ def peripheral_cfg(
time.sleep(0.5)
if set_initial_tool_state:
set_tool_position(robot, percent=0.75, device=1, scissorgripper=scissorgripper)
time.sleep(1.5)
set_tool_position(robot, percent=0.15, device=1, scissorgripper=scissorgripper)
set_tool_position(
robot,
percent=1.0,
device=1,
scissorgripper=scissorgripper,
)
elif scissorgripper == 2:
# 小型剪刀夹爪通过控制器 DO3/DO4 控制。
@@ -157,6 +157,10 @@ class PlacoIkSolver:
def base_configuration(self) -> list[float]:
return self._robot.state.q[:7].tolist()
@property
def joint_position_limits(self) -> np.ndarray:
return self._joint_limits.copy()
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():
@@ -10,17 +10,19 @@ import math
import queue
import threading
import time
from dataclasses import dataclass
from typing import Iterable
import numpy as np
import rclpy
from geometry_msgs.msg import PoseStamped, TwistStamped
from rclpy.node import Node
from rclpy.qos import HistoryPolicy, QoSProfile, ReliabilityPolicy
from rclpy.time import Time
from sensor_msgs.msg import JointState
from std_msgs.msg import Bool
from xr_rm_interfaces.msg import XrController
from xr_rm_interfaces.msg import ActControlSample, XrController
from .fun_peripheral import load_peripheral_config
from .placo_ik_solver import PlacoIkSolver
@@ -31,6 +33,30 @@ from .realman_adapter import (
)
@dataclass
class _ActCycleContext:
control_seq: int
control_monotonic_ns: int
feedback_monotonic_ns: int = -1
action_monotonic_ns: int = -1
feedback_age_ms: float = math.inf
qp_duration_ms: float = 0.0
q_actual: list[float] | None = None
q_qp_raw: list[float] | None = None
q_target: list[float] | None = None
current_pose: np.ndarray | None = None
raw_target_pose: np.ndarray | None = None
target_pose: np.ndarray | None = None
command_velocity: list[float] | None = None
feedback_valid: bool = False
command_sent: bool = False
send_failed: bool = False
qp_attempted: bool = False
qp_success: bool = False
target_clamped: bool = False
control_fault: bool = False
def _norm(values: Iterable[float]) -> float:
return math.sqrt(sum(value * value for value in values))
@@ -291,12 +317,19 @@ class SingleArmVelocityTeleop(Node):
self._latest_joint_positions: list[float] | None = None
self._last_joint_command_target: list[float] | None = None
self._last_joint_command_velocity: list[float] | None = None
self._last_successful_action_target: list[float] | None = None
self._act_control_seq = 0
self._joint_feedback_ready = False
self._grip_rearm_required = False
self._feedback_resync_attempted = False
self._control_fault_latched = False
self._stop_sent = True
self._trigger_tool_open = True
self._tool_state_lock = threading.Lock()
self._tool_target_open = True
self._tool_state_open: bool | None = None
self._tool_command_pending = False
self._tool_command_failed = False
self._last_primary_pressed: bool | None = None
self._last_trigger_pressed: bool | None = None
self._tool_command_queue: queue.Queue[tuple[bool, str] | None] | None = None
@@ -340,6 +373,15 @@ class SingleArmVelocityTeleop(Node):
f"{debug_ns}/joint_target",
10,
)
self._act_sample_pub = self.create_publisher(
ActControlSample,
f"{debug_ns}/act_control_sample",
QoSProfile(
history=HistoryPolicy.KEEP_LAST,
depth=10,
reliability=ReliabilityPolicy.BEST_EFFORT,
),
)
self._adapter = self._make_adapter()
self._adapter.connect()
self._initialize_joint_state()
@@ -430,11 +472,20 @@ class SingleArmVelocityTeleop(Node):
def _setup_tool_control(self) -> None:
peripheral_arm = self._peripheral_arm_name()
if self._bool_parameter("configure_peripheral_on_connect"):
configure_on_connect = self._bool_parameter(
"configure_peripheral_on_connect"
)
if configure_on_connect:
self._adapter.configure_peripheral(
self._peripheral_config,
peripheral_arm,
)
if self._peripheral_config.set_initial_tool_state:
with self._tool_state_lock:
self._tool_target_open = True
self._tool_state_open = True
self._tool_command_pending = False
self._tool_command_failed = False
if not self._enable_tool_control:
if self._enable_trigger_gripper_control:
@@ -484,6 +535,10 @@ class SingleArmVelocityTeleop(Node):
)
return
with self._tool_state_lock:
self._tool_target_open = open_tool
self._tool_command_pending = True
item = (open_tool, source)
while True:
try:
@@ -512,15 +567,34 @@ class SingleArmVelocityTeleop(Node):
try:
self._adapter.set_tool_enabled(open_tool)
except Exception as exc:
with self._tool_state_lock:
self._tool_command_failed = True
self.get_logger().error(
f"{self._arm_name} tool {action} failed from {source}: {exc}"
)
continue
with self._tool_state_lock:
self._tool_state_open = open_tool
self._tool_command_failed = False
self.get_logger().info(
f"{self._arm_name} tool {action} command sent from {source}"
)
finally:
self._tool_command_queue.task_done()
if self._tool_command_queue.empty():
with self._tool_state_lock:
self._tool_command_pending = False
def _tool_state_snapshot(
self,
) -> tuple[bool, bool | None, bool, bool]:
with self._tool_state_lock:
return (
self._tool_target_open,
self._tool_state_open,
self._tool_command_pending,
self._tool_command_failed,
)
def _peripheral_arm_name(self) -> str:
configured = str(self.get_parameter("peripheral_arm").value).strip().lower()
@@ -582,6 +656,18 @@ class SingleArmVelocityTeleop(Node):
self._enqueue_tool_command(self._trigger_tool_open, "trigger")
def _control_tick(self) -> None:
control_seq = getattr(self, "_act_control_seq", 0)
self._act_control_seq = control_seq + 1
cycle = _ActCycleContext(
control_seq=control_seq,
control_monotonic_ns=time.monotonic_ns(),
)
try:
self._control_tick_impl(cycle)
finally:
self._publish_act_control_sample(cycle)
def _control_tick_impl(self, cycle: _ActCycleContext) -> None:
tick_started_ns = time.perf_counter_ns()
last_tick_started_ns = getattr(
self,
@@ -596,10 +682,12 @@ class SingleArmVelocityTeleop(Node):
)
now = self.get_clock().now()
if self._control_fault_latched:
cycle.control_fault = True
return
snapshot = self._adapter.get_latest_joint_state()
if not self._joint_snapshot_is_motion_ready(snapshot):
cycle.control_fault = True
self._grip_rearm_required = True
if self._joint_feedback_ready:
self.get_logger().warn(
@@ -610,13 +698,18 @@ class SingleArmVelocityTeleop(Node):
self._safe_stop(reset_active=True)
return
assert snapshot is not None
cycle.q_actual = list(snapshot.positions)
cycle.feedback_monotonic_ns = int(snapshot.received_at * 1e9)
feedback_age = time.monotonic() - snapshot.received_at
cycle.feedback_age_ms = feedback_age * 1000.0
if feedback_age < 0.0:
cycle.control_fault = True
self._grip_rearm_required = True
self._joint_feedback_ready = False
self._safe_stop(reset_active=True)
return
if feedback_age > self._command_timeout_sec:
cycle.control_fault = True
self._handle_stale_joint_feedback(feedback_age)
return
@@ -624,6 +717,7 @@ class SingleArmVelocityTeleop(Node):
try:
current_pose = self._sync_joint_feedback(snapshot)
except Exception as exc:
cycle.control_fault = True
self.get_logger().error(
f"{self._arm_name} 关节反馈同步到 Placo 失败:{exc}",
throttle_duration_sec=1.0,
@@ -632,6 +726,8 @@ class SingleArmVelocityTeleop(Node):
self._grip_rearm_required = True
self._safe_stop(reset_active=True)
return
cycle.current_pose = current_pose
cycle.feedback_valid = True
if not self._joint_feedback_ready:
if self._grip_rearm_required:
message = (
@@ -680,6 +776,7 @@ class SingleArmVelocityTeleop(Node):
try:
controller_quat = self._controller_quaternion(self._last_msg)
except ValueError as exc:
cycle.control_fault = True
self.get_logger().warn(
f"{self._arm_name} XR 手柄姿态无效,停止输出:{exc}",
throttle_duration_sec=1.0,
@@ -724,19 +821,35 @@ class SingleArmVelocityTeleop(Node):
sent_target,
sent_orientation,
)
cycle.raw_target_pose = raw_target_pose
cycle.target_pose = target_pose
cycle.command_velocity = list(velocity)
cycle.target_clamped = target_clamped
self._publish_debug(raw_target_pose, target_pose, velocity, target_clamped)
cycle.qp_attempted = True
qp_started_ns = time.perf_counter_ns()
joint_target = self._solve_joint_target(target_pose)
joint_target, qp_success = self._solve_joint_target(target_pose)
qp_ms = (time.perf_counter_ns() - qp_started_ns) * 1e-6
cycle.qp_duration_ms = qp_ms
cycle.q_qp_raw = list(joint_target)
cycle.qp_success = qp_success
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:
assert self._last_joint_command_target is not None
final_target = list(self._last_joint_command_target)
self._last_successful_action_target = final_target
cycle.q_target = final_target
cycle.action_monotonic_ns = time.monotonic_ns()
cycle.command_sent = True
self._last_sent_target = sent_target
self._last_sent_orientation = sent_orientation.copy()
self._last_command_time = now
self._stop_sent = False
else:
cycle.send_failed = True
total_ms = (time.perf_counter_ns() - tick_started_ns) * 1e-6
try:
self._record_timing_sample(
@@ -1196,7 +1309,10 @@ class SingleArmVelocityTeleop(Node):
self._last_valid_joint_target = list(snapshot.positions)
return current_pose
def _solve_joint_target(self, target_pose: np.ndarray) -> list[float]:
def _solve_joint_target(
self,
target_pose: np.ndarray,
) -> tuple[list[float], bool]:
if self._last_valid_joint_target is None:
raise RuntimeError("valid joint feedback has not been initialized")
try:
@@ -1206,9 +1322,9 @@ class SingleArmVelocityTeleop(Node):
f"{self._arm_name} QP 求解失败,保持上一组关节目标:{exc}",
throttle_duration_sec=1.0,
)
return list(self._last_valid_joint_target)
return list(self._last_valid_joint_target), False
self._last_valid_joint_target = list(result)
return list(result)
return list(result), True
def _safe_stop(self, reset_active: bool) -> None:
if not self._stop_sent:
@@ -1380,6 +1496,122 @@ class SingleArmVelocityTeleop(Node):
self._cmd_vel_pub.publish(velocity_msg)
self._target_clamped_pub.publish(clamped_msg)
def _build_act_control_sample(
self,
cycle: _ActCycleContext,
) -> ActControlSample:
message = ActControlSample()
message.header.stamp = self.get_clock().now().to_msg()
message.header.frame_id = "rm_base"
message.control_seq = cycle.control_seq
message.control_monotonic_ns = cycle.control_monotonic_ns
message.feedback_monotonic_ns = cycle.feedback_monotonic_ns
message.action_monotonic_ns = cycle.action_monotonic_ns
message.feedback_age_ms = float(cycle.feedback_age_ms)
message.qp_duration_ms = float(cycle.qp_duration_ms)
q_actual = cycle.q_actual or [0.0] * 7
held_target = (
cycle.q_target
or self._last_successful_action_target
or q_actual
)
qp_target = cycle.q_qp_raw or held_target
limits = np.asarray(
self._ik_solver.joint_position_limits,
dtype=float,
)
if limits.shape != (7, 2) or not np.isfinite(limits).all():
raise ValueError("joint limits must have finite shape (7, 2)")
message.q_actual = [float(value) for value in q_actual]
message.q_qp_raw = [float(value) for value in qp_target]
message.q_target = [float(value) for value in held_target]
message.joint_lower_limits = limits[:, 0].tolist()
message.joint_upper_limits = limits[:, 1].tolist()
current_pose = cycle.current_pose
if current_pose is None:
current_pose = self._debug_pose_fallback()
if current_pose is None:
current_pose = np.eye(4)
raw_target_pose = cycle.raw_target_pose
if raw_target_pose is None:
raw_target_pose = current_pose
target_pose = cycle.target_pose
if target_pose is None:
target_pose = current_pose
message.tcp_current = self._pose_msg(
message.header.stamp,
current_pose,
).pose
message.tcp_raw_target = self._pose_msg(
message.header.stamp,
raw_target_pose,
).pose
message.tcp_target = self._pose_msg(
message.header.stamp,
target_pose,
).pose
velocity = cycle.command_velocity or [0.0] * 6
if len(velocity) != 6:
raise ValueError("ACT command velocity must contain 6 values")
message.tcp_command_velocity.linear.x = float(velocity[0])
message.tcp_command_velocity.linear.y = float(velocity[1])
message.tcp_command_velocity.linear.z = float(velocity[2])
message.tcp_command_velocity.angular.x = float(velocity[3])
message.tcp_command_velocity.angular.y = float(velocity[4])
message.tcp_command_velocity.angular.z = float(velocity[5])
controller = self._last_msg
if controller is not None:
message.pico_pose = controller.pose
message.pico_grip = bool(controller.grip)
message.pico_trigger = float(controller.trigger)
message.pico_primary = bool(controller.primary)
message.pico_secondary = bool(controller.secondary)
message.pico_axis = [float(value) for value in controller.axis]
tool_target, tool_state, tool_pending, tool_failed = (
self._tool_state_snapshot()
)
message.gripper_target_open = tool_target
message.gripper_state_known = tool_state is not None
message.gripper_state_open = bool(tool_state)
message.gripper_command_pending = tool_pending
message.gripper_command_failed = tool_failed
message.teleop_active = bool(self._active)
message.feedback_valid = cycle.feedback_valid
message.action_valid = bool(
self._last_successful_action_target is not None
and cycle.feedback_valid
and not cycle.send_failed
and not cycle.control_fault
)
message.command_sent = cycle.command_sent
message.qp_attempted = cycle.qp_attempted
message.qp_success = cycle.qp_success
message.target_clamped = cycle.target_clamped
message.control_fault = bool(
cycle.control_fault or self._control_fault_latched
)
return message
def _publish_act_control_sample(
self,
cycle: _ActCycleContext,
) -> None:
publisher = getattr(self, "_act_sample_pub", None)
if publisher is None:
return
try:
publisher.publish(self._build_act_control_sample(cycle))
except Exception as exc:
self.get_logger().warn(
f"{self._arm_name} ACT原子样本发布失败:{exc}",
throttle_duration_sec=1.0,
)
@staticmethod
def _pose_msg(stamp, pose: np.ndarray) -> PoseStamped:
transform = _make_transform(pose[:3, 3], pose[:3, :3])