test pin for ik, and mujoco
This commit is contained in:
LiuzhengSJ
@ -1,13 +1,72 @@
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from test_pin import KinematicsSolver as controller
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from rm75_mjc import MuJoCoPositionController
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import time
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from pathlib import Path
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def demo_position_control():
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"""Demonstrate pure position control"""
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urdf_path = "/home/zl/Downloads/urdf_rm75/RM75-B.urdf"
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if not Path(urdf_path).exists():
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print(f"Error: URDF not found at {urdf_path}")
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return
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print("=" * 60)
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print("Pure Position Control Demo")
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print("=" * 60)
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# Create controller
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robot = MuJoCoPositionController(urdf_path, smoothness=0.05, enable_viewer=True)
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robot.start()
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time.sleep(1)
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print("\n[Test 1] Move joint 1 to 45 degrees")
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robot.send_command([0.785, 0, 0, 0, 0, 0, 0])
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robot.wait_until_reached()
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robot.print_state()
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time.sleep(0.5)
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print("\n[Test 2] Move joint 2 to -30 degrees")
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robot.send_command([0, -0.524, 0, 0, 0, 0, 0])
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robot.wait_until_reached()
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robot.print_state()
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time.sleep(0.5)
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print("\n[Test 3] Move multiple joints simultaneously")
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robot.send_command([0.5, -0.4, 0.3, 0.2, 0.1, 0, 0])
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robot.wait_until_reached()
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robot.print_state()
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time.sleep(0.5)
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print("\n[Test 4] Return home")
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robot.send_command([0, 0, 0, 0, 0, 0, 0])
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robot.wait_until_reached()
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robot.print_state()
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print("\n" + "=" * 60)
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print("✓ All tests passed! Robot is stable and controllable.")
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print("=" * 60)
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print("\nInteractive mode - close viewer to exit")
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try:
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while robot.viewer and robot.viewer.is_running():
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time.sleep(0.1)
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except KeyboardInterrupt:
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pass
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robot.stop()
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def main():
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kine_node = controller()
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kine_node.loop_run()
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print("main get returned kine_node")
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demo_position_control()
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# kine_node = controller()
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# kine_node.loop_run()
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# print("main get returned kine_node")
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if __name__ == "__main__":
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@ -18,7 +18,7 @@ class MuJoCoPositionController:
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No velocity commands, no forces - completely stable
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"""
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def __init__(self, urdf_path, smoothness=0.05, enable_viewer=True):
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def __init__(self, urdf_path, smoothness=0.2, enable_viewer=True):
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"""
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Args:
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urdf_path: Path to URDF file
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@ -29,6 +29,10 @@ class MuJoCoPositionController:
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self.model = mujoco.MjModel.from_xml_path(urdf_path)
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self.data = mujoco.MjData(self.model)
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self.time_interval = 0.02
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print(f'time interval: {self.model.opt.timestep}')
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# Robot info
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self.n_joints = self.model.njnt
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@ -55,6 +59,8 @@ class MuJoCoPositionController:
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self.feedback_lock = threading.Lock()
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self.current_feedback = self.data.qpos[:self.n_joints].copy()
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self.max_pos_inc = 0.02
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# Control flags
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self.running = False
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self.simulation_thread = None
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@ -137,8 +143,7 @@ class MuJoCoPositionController:
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# This creates natural motion without velocity commands
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alpha = self.smoothness
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delt_pos = np.clip( (target - current_positions), -0.02, 0.02)
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next_positions = current_positions + alpha * delt_pos
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next_positions = current_positions + np.clip(alpha * (target - current_positions) , -self.max_pos_inc, self.max_pos_inc)
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# DIRECT POSITION CONTROL - Set joint positions
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self.data.qpos[:self.n_joints] = next_positions
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@ -165,7 +170,7 @@ class MuJoCoPositionController:
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# Maintain real-time speed
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elapsed = time.time() - last_time
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sleep_time = self.model.opt.timestep - elapsed
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sleep_time = self.time_interval - elapsed
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if sleep_time > 0:
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time.sleep(sleep_time)
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last_time = time.time()
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@ -185,7 +190,7 @@ class MuJoCoPositionController:
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for i in range(self.n_joints):
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end_pos[i] = np.clip(end_pos[i], self.joint_lower_limits[i], self.joint_upper_limits[i])
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n_steps = int(duration / self.model.opt.timestep)
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n_steps = int(duration / self.time_interval)
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print(f" Moving over {duration}s ({n_steps} steps)")
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@ -195,7 +200,7 @@ class MuJoCoPositionController:
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ease_alpha = 1 - (1 - alpha) ** 2 # Quadratic ease-out
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current_target = start_pos + ease_alpha * (end_pos - start_pos)
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self.send_command(current_target)
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time.sleep(self.model.opt.timestep)
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time.sleep(self.time_interval)
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# Ensure exact target
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self.send_command(end_pos)
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@ -273,16 +278,6 @@ def demo_position_control():
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robot.wait_until_reached()
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robot.print_state()
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print("\n[Test 5] Smooth trajectory using move_to_position")
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robot.move_to_position([0.6, -0.5, 0.4, 0.2, 0, 0, 0], duration=2.0)
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robot.wait_until_reached()
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robot.print_state()
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print("\n[Test 6] Back home with smooth motion")
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robot.move_to_position([0, 0, 0, 0, 0, 0, 0], duration=2.0)
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robot.wait_until_reached()
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robot.print_state()
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print("\n" + "=" * 60)
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print("✓ All tests passed! Robot is stable and controllable.")
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print("=" * 60)
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@ -297,53 +292,7 @@ def demo_position_control():
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robot.stop()
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# Simple usage for your kinematic code
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def example_for_kinematic_code():
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"""Example of how to use with your kinematic solver"""
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urdf_path = "/home/zl/Downloads/urdf_rm75/RM75-B.urdf"
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robot = MuJoCoPositionController(urdf_path, smoothness=0.05, enable_viewer=True)
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robot.start()
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# Your kinematic solver would compute joint targets like this:
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def your_kinematic_solver(target_pose):
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"""
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Your kinematic code here
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Returns joint positions array of length 7
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"""
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# Example output - replace with your actual kinematics
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return np.array([0.5, -0.3, 0.2, 0.1, 0, 0, 0])
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# Example usage
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target_pose = "some pose" # Your pose input
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# Compute joint targets using your kinematics
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joint_targets = your_kinematic_solver(target_pose)
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# Send to simulation
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robot.send_command(joint_targets)
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# Wait for robot to reach target
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robot.wait_until_reached()
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# Read actual positions
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actual_positions = robot.get_feedback()
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# Verify your kinematics
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error = np.max(np.abs(joint_targets - actual_positions))
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print(f"Kinematic verification error: {error:.6f} rad")
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# Keep running
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try:
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while robot.viewer and robot.viewer.is_running():
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time.sleep(0.1)
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except KeyboardInterrupt:
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pass
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robot.stop()
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if __name__ == "__main__":
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demo_position_control()
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# Uncomment to test with your kinematic code:
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# example_for_kinematic_code()
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@ -1,250 +0,0 @@
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#!/usr/bin/env python3
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"""
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RM75 Robot Controller for URDF without actuators
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Direct joint position control (kinematic mode)
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"""
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import mujoco
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import mujoco.viewer
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import numpy as np
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import time
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from pathlib import Path
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class RM75Controller:
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def __init__(self, urdf_path: str ="/home/zl/Downloads/urdf_rm75/RM75-B.urdf", enable_viewer: bool = True):
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"""
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Initialize RM75 robot simulation from URDF
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Args:
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urdf_path: Path to RM75-B.urdf file
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enable_viewer: Show visualization window
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"""
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# Load model
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self.model = mujoco.MjModel.from_xml_path(urdf_path)
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self.data = mujoco.MjData(self.model)
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# Robot info
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self.n_joints = self.model.njnt
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self.n_actuators = self.model.nu
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print(f"✓ Loaded RM75 robot")
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print(f" - Joints: {self.n_joints}")
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print(f" - Actuators: {self.n_actuators} (using direct joint control)")
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print(f" - Bodies: {self.model.nbody}")
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# Get joint names for reference
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self.joint_names = []
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for i in range(self.n_joints):
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self.joint_names.append(self.model.joint(i).name)
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print(f" - Joints: {', '.join(self.joint_names)}")
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# Store home position (current joint angles)
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self.home_position = self.data.qpos[:self.n_joints].copy()
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print(f" - Home position: {self.home_position}")
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# For position control without actuators, we'll use qpos directly
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self.use_actuators = self.n_actuators > 0
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# Viewer
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self.viewer = None
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if enable_viewer:
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try:
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self.viewer = mujoco.viewer.launch_passive(self.model, self.data)
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print("✓ Viewer launched successfully")
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except Exception as e:
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print(f"Warning: Could not launch viewer: {e}")
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self.viewer = None
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def get_joint_positions(self):
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"""Get current joint angles (radians)"""
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return self.data.qpos[:self.n_joints].copy()
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def get_joint_velocities(self):
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"""Get current joint velocities (rad/s)"""
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return self.data.qvel[:self.n_joints].copy()
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def get_end_effector_pose(self):
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"""Get end-effector position and orientation"""
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# Last body is usually end-effector
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end_effector_id = self.model.nbody - 1
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position = self.data.xpos[end_effector_id].copy()
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orientation = self.data.xmat[end_effector_id].copy().reshape(3, 3)
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return position, orientation
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def set_joint_positions(self, positions):
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"""
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Set joint positions directly (kinematic control)
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Args:
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positions: Target joint angles in radians (length should match n_joints)
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"""
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if len(positions) != self.n_joints:
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print(f"Warning: Expected {self.n_joints} joints, got {len(positions)}")
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positions = positions[:self.n_joints]
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# Directly set joint positions (kinematic control)
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self.data.qpos[:self.n_joints] = positions
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# Also set velocities to zero to avoid unwanted motion
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self.data.qvel[:self.n_joints] = 0
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def step(self):
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"""Advance simulation one step"""
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mujoco.mj_step(self.model, self.data)
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if self.viewer:
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self.viewer.sync()
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def step_n(self, n_steps: int):
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"""Advance simulation by N steps"""
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for _ in range(n_steps):
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self.step()
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def move_to_position(self, target_positions, steps=500):
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"""
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Smoothly move to target joint positions
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Args:
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target_positions: Target joint angles
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steps: Number of simulation steps for the movement
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"""
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current = self.get_joint_positions()
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target = np.array(target_positions[:self.n_joints])
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for i in range(steps):
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# Linear interpolation
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alpha = (i + 1) / steps
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positions = current + alpha * (target - current)
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self.set_joint_positions(positions)
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self.step()
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# Ensure exact target
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self.set_joint_positions(target)
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self.step_n(10)
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def run_trajectory(self, trajectory_points, steps_between_points=500):
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"""
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Execute a joint trajectory
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Args:
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trajectory_points: List of joint position arrays
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steps_between_points: Steps between each point
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"""
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print(f"Executing trajectory with {len(trajectory_points)} points...")
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for i, target in enumerate(trajectory_points):
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print(f" Moving to point {i + 1}/{len(trajectory_points)}")
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self.move_to_position(target, steps_between_points)
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print("✓ Trajectory complete")
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def run_forever(self, dt=0.01):
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"""Run simulation with real-time control loop"""
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print("\n✓ Simulation running. Close viewer window to exit.\n")
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try:
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while self.viewer and self.viewer.is_running():
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self.step()
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time.sleep(dt)
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except KeyboardInterrupt:
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print("\n✓ Stopped by user")
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finally:
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if self.viewer:
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self.viewer.close()
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def print_state(self):
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"""Print current robot state"""
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positions = self.get_joint_positions()
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print(f"Joint positions (rad): {[f'{p:.3f}' for p in positions]}")
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# Test trajectories for RM75
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def create_sine_wave_trajectory(controller, duration_seconds=5, frequency=0.5):
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"""Create a sine wave trajectory for testing"""
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steps = int(duration_seconds / controller.model.opt.timestep)
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trajectory = []
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for i in range(steps):
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t = i * controller.model.opt.timestep
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positions = controller.home_position.copy()
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# Create sine wave motion on first 3 joints (shoulder, elbow, wrist)
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positions[0] = controller.home_position[0] + 0.5 * np.sin(2 * np.pi * frequency * t)
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positions[1] = controller.home_position[1] + 0.3 * np.sin(2 * np.pi * frequency * t + 1.0)
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positions[2] = controller.home_position[2] + 0.2 * np.sin(2 * np.pi * frequency * t + 2.0)
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trajectory.append(positions)
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return trajectory
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if __name__ == "__main__":
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# Path to your URDF
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urdf_file = "/home/zl/Downloads/urdf_rm75/RM75-B.urdf"
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# Check if file exists
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if not Path(urdf_file).exists():
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print(f"Error: URDF file not found at {urdf_file}")
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exit(1)
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# Create robot controller
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print("Initializing RM75 Controller...")
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robot = RM75Controller(urdf_file, enable_viewer=True)
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if robot.viewer is None:
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print("Error: Could not initialize viewer. Running without visualization.")
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# Give time for viewer to initialize
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time.sleep(1)
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# Test 1: Print current state
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print("\n>>> Current robot state:")
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robot.print_state()
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# Test 2: Move to home position
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print("\n>>> Moving to home position...")
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robot.move_to_position(robot.home_position, steps=300)
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robot.print_state()
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# Test 3: Create and execute a pose sequence
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print("\n>>> Testing different poses...")
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# Pose 1: Slightly raised arm
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pose1 = robot.home_position.copy()
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pose1[0] = 0.5 # Joint 1
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pose1[1] = -0.3 # Joint 2
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pose1[2] = 0.2 # Joint 3
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# Pose 2: Extended arm
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pose2 = robot.home_position.copy()
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pose2[0] = 0.8
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pose2[1] = -0.5
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pose2[2] = 0.4
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pose2[3] = 0.3 # Joint 4
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# Pose 3: Folded position
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pose3 = robot.home_position.copy()
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pose3[0] = -0.5
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pose3[1] = 0.3
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pose3[2] = -0.2
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trajectory = [pose1, pose2, pose3, robot.home_position]
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robot.run_trajectory(trajectory, steps_between_points=400)
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# Test 4: Continuous sine wave motion (5 seconds)
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print("\n>>> Starting sine wave motion (5 seconds)...")
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sine_trajectory = create_sine_wave_trajectory(robot, duration_seconds=5, frequency=0.8)
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robot.run_trajectory(sine_trajectory, steps_between_points=1)
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# Return to home
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print("\n>>> Returning to home position...")
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robot.move_to_position(robot.home_position, steps=300)
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print("\n✓ Demo complete!")
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# Keep viewer open until user closes
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if robot.viewer:
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print("\nPress Ctrl+C in terminal to exit, or close the viewer window.")
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robot.run_forever()
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else:
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print("\nSimulation completed.")
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Reference in New Issue
Block a user