Files
mindbot/scripts/environments/teleoperation/xr_teleop/single_arm_agent.py
2026-03-23 22:06:13 +08:00

61 lines
1.9 KiB
Python

# SPDX-FileCopyrightText: Copyright (c) 2022-2025, The Isaac Lab Project Developers.
# SPDX-License-Identifier: BSD-3-Clause
"""Single-arm XR teleoperation agent."""
from __future__ import annotations
import torch
from .base_agent import BaseTeleopAgent
from .xr_controller import XrTeleopController
from .frame_utils import convert_action_world_to_root
class SingleArmXrAgent(BaseTeleopAgent):
"""Single-arm teleoperation: one XR controller -> one robot arm + gripper.
Action: arm(7) | gripper(1) = 8D
"""
def __init__(self, env, simulation_app, *,
arm: str = "left",
pos_sensitivity: float = 1.0,
rot_sensitivity: float = 0.3,
xr_client=None,
debug_viewports: bool = True):
super().__init__(env, simulation_app, debug_viewports=debug_viewports)
self.xr_client = xr_client
self.teleop = XrTeleopController(
arm=arm, pos_sensitivity=pos_sensitivity,
rot_sensitivity=rot_sensitivity, xr_client=xr_client,
)
self.teleop.add_callback("RESET", self.request_reset)
self._last_root = None
def _ik_action_term_names(self) -> list[str]:
return ["arm_action"]
def on_reset(self):
self.teleop.reset()
self._last_root = None
def assemble_action(self, obs) -> torch.Tensor:
policy_obs = obs["policy"]
eef_pos = policy_obs["eef_pos"][0].cpu().numpy()
eef_quat = policy_obs["eef_quat"][0].cpu().numpy()
action = self.teleop.advance(current_eef_pos=eef_pos, current_eef_quat=eef_quat)
robot = self.env.unwrapped.scene["robot"]
if self.teleop.grip_active or self._last_root is None:
self._last_root = convert_action_world_to_root(action, robot)[:7].clone()
# arm(7) | gripper(1)
return torch.cat([self._last_root, action[7:8]])
def cleanup(self):
self.teleop.close()
super().cleanup()