Download stacking_env.py from LeRobot-worldwide-hackathon/TEAM-183-SimuRL-EduStackRL: direct link, hf CLI and curl.
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https://huggingface.co/datasets/LeRobot-worldwide-hackathon/TEAM-183-SimuRL-EduStackRL/resolve/main/stacking_env.py
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hf download hf://datasets/LeRobot-worldwide-hackathon/TEAM-183-SimuRL-EduStackRL/stacking_env.py
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curl -L -o stacking_env.py https://huggingface.co/datasets/LeRobot-worldwide-hackathon/TEAM-183-SimuRL-EduStackRL/resolve/main/stacking_env.py
7.65 kB
| import gymnasium as gym | |
| import mujoco | |
| import numpy as np | |
| from gymnasium.spaces import Box | |
| from pathlib import Path | |
| import mujoco.viewer | |
| class StackingEnv(gym.Env): | |
| def __init__(self, render_mode="human"): | |
| super().__init__() | |
| self.render_mode = render_mode | |
| # Load stacking.xml | |
| xml_path = str(Path(__file__).parent.parent / "assets/stacking.xml") | |
| print(f"Loading XML from: {xml_path}") | |
| try: | |
| self.model = mujoco.MjModel.from_xml_path(xml_path) | |
| self.data = mujoco.MjData(self.model) | |
| # Debug: Print model dimensions | |
| self.nq = self.model.nq # Total degrees of freedom | |
| self.nv = self.model.nv # Velocity dimensions | |
| self.nu = self.model.nu # Control dimensions | |
| print(f"Model dimensions - nq: {self.nq}, nv: {self.nv}, nu: {self.nu}") | |
| # Set a valid initial qpos to avoid invalid defaults | |
| self.data.qpos = np.zeros(self.nq) | |
| if self.nq >= 3: # Base position | |
| self.data.qpos[0:3] = [0, 0, 0.1] # x, y, z | |
| if self.nq >= 7: # Orientation | |
| self.data.qpos[3:7] = [1, 0, 0, 0] # quaternion | |
| mujoco.mj_forward(self.model, self.data) | |
| except ValueError as e: | |
| print(f"Error loading model: {e}") | |
| print("Check stacking.xml for valid qpos or keyframe definitions.") | |
| raise | |
| self.viewer = None | |
| if render_mode == "human": | |
| try: | |
| self.viewer = mujoco.viewer.launch_passive(self.model, self.data) | |
| print("Viewer initialized successfully") | |
| except Exception as e: | |
| print(f"Viewer initialization failed: {e}") | |
| # Define observation and action spaces to match dataset | |
| self.observation_space = Box(low=-np.inf, high=np.inf, shape=(21,), dtype=np.float32) # Fixed to (21,) per dataset | |
| self.action_space = Box(low=-1.0, high=1.0, shape=(9,), dtype=np.float32) # Fixed to (9,) per dataset | |
| # Get body IDs and verify they exist | |
| self.block_ids = [] | |
| for i in range(3): | |
| block_id = mujoco.mj_name2id(self.model, mujoco.mjtObj.mjOBJ_BODY, f"block{i}") | |
| self.block_ids.append(block_id if block_id != -1 else None) | |
| print(f"Block IDs found: {[bid for bid in self.block_ids if bid is not None]}") | |
| self.target_zone_id = mujoco.mj_name2id(self.model, mujoco.mjtObj.mjOBJ_BODY, "target_zone") | |
| print(f"Target zone ID: {self.target_zone_id if self.target_zone_id != -1 else 'Not found'}") | |
| # Joint indices (adjusted for dynamic DOFs) | |
| self.joint_ids = list(range(7, min(16, self.nq))) # Limit to 9 joints max to align with obs | |
| self.finger_joint_ids = [14, 15] if self.nq >= 16 and 14 < self.nu and 15 < self.nu else [] | |
| def reset(self, seed=None): | |
| super().reset(seed=seed) | |
| nq = self.model.nq | |
| nv = self.model.nv | |
| # Reset to a valid state | |
| self.data.qpos = np.zeros(nq) | |
| self.data.qvel = np.zeros(nv) | |
| if nq >= 3: | |
| self.data.qpos[0:3] = [0, 0, 0.1] # x, y, z | |
| if nq >= 7: | |
| self.data.qpos[3:7] = [1, 0, 0, 0] # quaternion | |
| if nq > 7: | |
| self.data.qpos[7:16] = np.zeros(9) # Limit to 9 joints for obs alignment | |
| # Set block positions | |
| block_positions = [ | |
| [0.2, 0.0, 0.025], | |
| [0.25, 0.0, 0.025], | |
| [0.3, 0.0, 0.025] | |
| ] | |
| for i, block_id in enumerate(self.block_ids): | |
| if block_id is not None: | |
| self.data.body(block_id).xpos = np.array(block_positions[i]) | |
| self.data.qvel[:] = 0.0 | |
| mujoco.mj_forward(self.model, self.data) | |
| return self._get_obs(), {} | |
| def step(self, action): | |
| # Clip action to match nu and ensure finite bounds | |
| ctrl_size = min(len(action), self.nu) | |
| clipped_action = np.clip(action[:ctrl_size], -1.0, 1.0) | |
| self.data.ctrl[:ctrl_size] = clipped_action | |
| # Restrict actuator 2 (index 1) to -90° to +90° (-1.57 to 1.57 radians) | |
| if 1 < self.nu: | |
| self.data.ctrl[1] = np.clip(action[1], -1.57, 1.57) | |
| # Handle finger joints if within nu | |
| if len(action) >= 9 and self.finger_joint_ids and all(fid < self.nu for fid in self.finger_joint_ids): | |
| self.data.ctrl[self.finger_joint_ids[0]] = np.clip(action[7], -1.0, 1.0) | |
| self.data.ctrl[self.finger_joint_ids[1]] = np.clip(action[8], -1.0, 1.0) | |
| mujoco.mj_step(self.model, self.data) | |
| reward = -0.01 if not self._is_stacked() else 10.0 | |
| terminated = self._is_stacked() | |
| truncated = False | |
| obs = self._get_obs() | |
| info = {"success": terminated} | |
| if self.render_mode == "human" and self.viewer: | |
| self.viewer.sync() | |
| return obs, reward, terminated, truncated, info | |
| def _get_obs(self): | |
| block_pos = [self.data.body(bid).xpos[:3] if bid is not None else np.zeros(3) for bid in self.block_ids] | |
| target_pos = self.data.body(self.target_zone_id).xpos[:3] if self.target_zone_id != -1 else np.zeros(3) | |
| joint_pos = self.data.qpos[7:16] if self.nq > 7 else np.zeros(9) # Limit to 9 joints | |
| obs = np.concatenate([pos for pos in block_pos] + [target_pos] + [joint_pos]) | |
| return obs.astype(np.float32) | |
| def _is_stacked(self): | |
| if not any(bid is not None for bid in self.block_ids) or self.target_zone_id == -1: | |
| return False | |
| block_positions = [self.data.body(bid).xpos for bid in self.block_ids if bid is not None] | |
| target_pos = self.data.body(self.target_zone_id).xpos | |
| return all(np.linalg.norm(b[:2] - target_pos[:2]) < 0.05 for b in block_positions) | |
| def close(self): | |
| if self.viewer: | |
| self.viewer.close() | |
| if __name__ == "__main__": | |
| import argparse | |
| import time | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--render_mode", default="human") | |
| parser.add_argument("--fps", type=int, default=15, help="Frames per second") | |
| args = parser.parse_args() | |
| try: | |
| env = StackingEnv(render_mode=args.render_mode) | |
| obs, _ = env.reset() | |
| print("Initial observation shape:", obs.shape) | |
| print("Environment initialized successfully!") | |
| if args.render_mode == "human": | |
| print("Simulation started at", args.fps, "FPS. Use viewer 'Joint' or 'Control' tabs to adjust joints, with actuator 2 limited to 180-degree range (-90° to +90°).") | |
| print("Press Ctrl+C to exit.") | |
| step_delay = 1.0 / args.fps | |
| try: | |
| while env.viewer and env.viewer.is_running(): | |
| mujoco.mj_step(env.model, env.data) | |
| if env.render_mode == "human" and env.viewer: | |
| env.viewer.sync() | |
| time.sleep(step_delay) | |
| except KeyboardInterrupt: | |
| print("Stopped by user") | |
| else: | |
| print("Environment test completed successfully!") | |
| except Exception as e: | |
| print(f"Error: {e}") | |
| print("\nTo debug this issue:") | |
| print("1. Check stacking.xml for valid qpos or keyframe definitions") | |
| print("2. Ensure qpos has exactly {env.model.nq} values") | |
| print("3. Verify the joint structure in both XML files matches the code assumptions") | |
| finally: | |
| try: | |
| env.close() | |
| except: | |
| pass |