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# All rights reserved.
#
# SPDX-License-Identifier: BSD-3-Clause
"""
Demonstration of Haply device teleoperation with a robotic arm.
This script demonstrates how to use a Haply device (Inverse3 + VerseGrip) to
teleoperate a robotic arm in Isaac Lab. The Haply provides:
- Position tracking from the Inverse3 device
- Orientation and button inputs from the VerseGrip device
- Force feedback
.. code-block:: bash
# Usage
./isaaclab.sh -p scripts/demos/haply_teleoperation.py
# With custom WebSocket URI
./isaaclab.sh -p scripts/demos/haply_teleoperation.py --websocket_uri ws://localhost:10001
# With sensitivity adjustment
./isaaclab.sh -p scripts/demos/haply_teleoperation.py --pos_sensitivity 2.0
Prerequisites:
1. Install websockets package: pip install websockets
2. Have Haply SDK running and accessible via WebSocket
3. Connect Inverse3 and VerseGrip devices
"""
"""Launch Isaac Sim Simulator first."""
import argparse
from isaaclab.app import AppLauncher
# add argparse arguments
parser = argparse.ArgumentParser(description="Demonstration of Haply device teleoperation with Isaac Lab.")
parser.add_argument("--num_envs", type=int, default=1, help="Number of environments to spawn.")
parser.add_argument(
"--websocket_uri",
type=str,
default="ws://localhost:10001",
help="WebSocket URI for Haply SDK connection.",
)
parser.add_argument(
"--pos_sensitivity",
type=float,
default=1.0,
help="Position sensitivity scaling factor.",
)
AppLauncher.add_app_launcher_args(parser)
args_cli = parser.parse_args()
app_launcher = AppLauncher(args_cli)
simulation_app = app_launcher.app
import numpy as np
import torch
import isaaclab.sim as sim_utils
from isaaclab.assets import Articulation, AssetBaseCfg, RigidObject, RigidObjectCfg
from isaaclab.controllers import DifferentialIKController, DifferentialIKControllerCfg
from isaaclab.devices import HaplyDevice, HaplyDeviceCfg
from isaaclab.scene import InteractiveScene, InteractiveSceneCfg
from isaaclab.sensors import ContactSensor, ContactSensorCfg
from isaaclab.utils import configclass
from isaaclab.utils.assets import ISAAC_NUCLEUS_DIR
from isaaclab_assets import FRANKA_PANDA_HIGH_PD_CFG # isort: skip
# Workspace mapping constants
HAPLY_Z_OFFSET = 0.35
WORKSPACE_LIMITS = {
"x": (0.1, 0.9),
"y": (-0.50, 0.50),
"z": (1.05, 1.85),
}
def apply_haply_to_robot_mapping(
haply_pos: np.ndarray | torch.Tensor,
haply_initial_pos: np.ndarray | list,
robot_initial_pos: np.ndarray | torch.Tensor,
) -> np.ndarray:
"""Apply coordinate mapping from Haply workspace to Franka Panda end-effector.
Uses absolute position control: robot position = robot_initial_pos + haply_pos (transformed)
Args:
haply_pos: Current Haply absolute position [x, y, z] in meters
haply_initial_pos: Haply's zero reference position [x, y, z]
robot_initial_pos: Base offset for robot end-effector
Returns:
robot_pos: Target position for robot EE in world frame [x, y, z]
"""
# Convert to numpy
if isinstance(haply_pos, torch.Tensor):
haply_pos = haply_pos.cpu().numpy()
if isinstance(robot_initial_pos, torch.Tensor):
robot_initial_pos = robot_initial_pos.cpu().numpy()
haply_delta = haply_pos - haply_initial_pos
# Coordinate system mapping: Haply (X, Y, Z) -> Robot (-Y, X, Z-offset)
robot_offset = np.array([-haply_delta[1], haply_delta[0], haply_delta[2] - HAPLY_Z_OFFSET])
robot_pos = robot_initial_pos + robot_offset
# Apply workspace limits for safety
robot_pos[0] = np.clip(robot_pos[0], WORKSPACE_LIMITS["x"][0], WORKSPACE_LIMITS["x"][1])
robot_pos[1] = np.clip(robot_pos[1], WORKSPACE_LIMITS["y"][0], WORKSPACE_LIMITS["y"][1])
robot_pos[2] = np.clip(robot_pos[2], WORKSPACE_LIMITS["z"][0], WORKSPACE_LIMITS["z"][1])
return robot_pos
@configclass
class FrankaHaplySceneCfg(InteractiveSceneCfg):
"""Configuration for Franka scene with Haply teleoperation and contact sensors."""
ground = AssetBaseCfg(
prim_path="/World/defaultGroundPlane",
spawn=sim_utils.GroundPlaneCfg(),
)
dome_light = AssetBaseCfg(
prim_path="/World/Light",
spawn=sim_utils.DomeLightCfg(intensity=3000.0, color=(0.75, 0.75, 0.75)),
)
table = AssetBaseCfg(
prim_path="{ENV_REGEX_NS}/Table",
spawn=sim_utils.UsdFileCfg(
usd_path=f"{ISAAC_NUCLEUS_DIR}/Props/Mounts/SeattleLabTable/table_instanceable.usd",
scale=(1.0, 1.0, 1.0),
),
init_state=AssetBaseCfg.InitialStateCfg(pos=(0.50, 0.0, 1.05), rot=(0.707, 0, 0, 0.707)),
)
robot: Articulation = FRANKA_PANDA_HIGH_PD_CFG.replace(prim_path="{ENV_REGEX_NS}/Robot")
robot.init_state.pos = (-0.02, 0.0, 1.05)
robot.spawn.activate_contact_sensors = True
cube = RigidObjectCfg(
prim_path="{ENV_REGEX_NS}/Cube",
spawn=sim_utils.CuboidCfg(
size=(0.06, 0.06, 0.06),
rigid_props=sim_utils.RigidBodyPropertiesCfg(),
mass_props=sim_utils.MassPropertiesCfg(mass=0.5),
collision_props=sim_utils.CollisionPropertiesCfg(),
physics_material=sim_utils.RigidBodyMaterialCfg(static_friction=0.5, dynamic_friction=0.5),
visual_material=sim_utils.PreviewSurfaceCfg(diffuse_color=(0.2, 0.8, 0.2), metallic=0.2),
),
init_state=RigidObjectCfg.InitialStateCfg(pos=(0.60, 0.00, 1.15)),
)
left_finger_contact_sensor = ContactSensorCfg(
prim_path="{ENV_REGEX_NS}/Robot/panda_leftfinger",
update_period=0.0,
history_length=3,
debug_vis=True,
track_pose=True,
)
right_finger_contact_sensor = ContactSensorCfg(
prim_path="{ENV_REGEX_NS}/Robot/panda_rightfinger",
update_period=0.0,
history_length=3,
debug_vis=True,
track_pose=True,
)
def run_simulator(
sim: sim_utils.SimulationContext,
scene: InteractiveScene,
haply_device: HaplyDevice,
):
"""Runs the simulation loop with Haply teleoperation."""
sim_dt = sim.get_physics_dt()
count = 1
robot: Articulation = scene["robot"]
cube: RigidObject = scene["cube"]
left_finger_sensor: ContactSensor = scene["left_finger_contact_sensor"]
right_finger_sensor: ContactSensor = scene["right_finger_contact_sensor"]
ee_body_name = "panda_hand"
ee_body_idx = robot.body_names.index(ee_body_name)
joint_pos = robot.data.default_joint_pos.clone()
joint_pos[0, :7] = torch.tensor([0.0, -0.569, 0.0, -2.81, 0.0, 3.037, 0.741], device=robot.device)
joint_vel = robot.data.default_joint_vel.clone()
robot.write_joint_state_to_sim(joint_pos, joint_vel)
for _ in range(10):
scene.write_data_to_sim()
sim.step()
scene.update(sim_dt)
# Initialize the position of franka
robot_initial_pos = robot.data.body_pos_w[0, ee_body_idx].cpu().numpy()
haply_initial_pos = np.array([0.0, 0.0, 0.0], dtype=np.float32)
ik_controller_cfg = DifferentialIKControllerCfg(
command_type="position",
use_relative_mode=False,
ik_method="dls",
ik_params={"lambda_val": 0.05},
)
# IK joints control arms, buttons control ee rotation and gripper open/close
arm_joint_names = [
"panda_joint1",
"panda_joint2",
"panda_joint3",
"panda_joint4",
"panda_joint5",
"panda_joint6",
]
arm_joint_indices = [robot.joint_names.index(name) for name in arm_joint_names]
# Initialize IK controller
ik_controller = DifferentialIKController(cfg=ik_controller_cfg, num_envs=scene.num_envs, device=sim.device)
initial_ee_quat = robot.data.body_quat_w[:, ee_body_idx]
ik_controller.set_command(command=torch.zeros(scene.num_envs, 3, device=sim.device), ee_quat=initial_ee_quat)
prev_button_a = False
prev_button_b = False
prev_button_c = False
gripper_target = 0.04
# Initialize the rotation of franka end-effector
ee_rotation_angle = robot.data.joint_pos[0, 6].item()
rotation_step = np.pi / 3
print("\n[INFO] Teleoperation ready!")
print(" Move handler: Control pose of the end-effector")
print(" Button A: Open | Button B: Close | Button C: Rotate EE (60°)\n")
while simulation_app.is_running():
if count % 10000 == 0:
count = 1
root_state = robot.data.default_root_state.clone()
root_state[:, :3] += scene.env_origins
robot.write_root_pose_to_sim(root_state[:, :7])
robot.write_root_velocity_to_sim(root_state[:, 7:])
joint_pos = robot.data.default_joint_pos.clone()
joint_pos[0, :7] = torch.tensor([0.0, -0.569, 0.0, -2.81, 0.0, 3.037, 0.741], device=robot.device)
joint_vel = robot.data.default_joint_vel.clone()
robot.write_joint_state_to_sim(joint_pos, joint_vel)
cube_state = cube.data.default_root_state.clone()
cube_state[:, :3] += scene.env_origins
cube.write_root_pose_to_sim(cube_state[:, :7])
cube.write_root_velocity_to_sim(cube_state[:, 7:])
scene.reset()
haply_device.reset()
ik_controller.reset()
print("[INFO]: Resetting robot state...")
# Get the data from Haply device
haply_data = haply_device.advance()
haply_pos = haply_data[:3]
button_a = haply_data[7].item() > 0.5
button_b = haply_data[8].item() > 0.5
button_c = haply_data[9].item() > 0.5
if button_a and not prev_button_a:
gripper_target = 0.04 # Open gripper
if button_b and not prev_button_b:
gripper_target = 0.0 # Close gripper
if button_c and not prev_button_c:
joint_7_limit = 3.0
ee_rotation_angle += rotation_step
if ee_rotation_angle > joint_7_limit:
ee_rotation_angle = -joint_7_limit + (ee_rotation_angle - joint_7_limit)
elif ee_rotation_angle < -joint_7_limit:
ee_rotation_angle = joint_7_limit + (ee_rotation_angle + joint_7_limit)
prev_button_a = button_a
prev_button_b = button_b
prev_button_c = button_c
# Compute IK
target_pos = apply_haply_to_robot_mapping(
haply_pos,
haply_initial_pos,
robot_initial_pos,
)
target_pos_tensor = torch.tensor(target_pos, dtype=torch.float32, device=sim.device).unsqueeze(0)
current_joint_pos = robot.data.joint_pos[:, arm_joint_indices]
ee_pos_w = robot.data.body_pos_w[:, ee_body_idx]
ee_quat_w = robot.data.body_quat_w[:, ee_body_idx]
# get jacobian to IK controller
jacobian = robot.root_physx_view.get_jacobians()[:, ee_body_idx, :, arm_joint_indices]
ik_controller.set_command(command=target_pos_tensor, ee_quat=ee_quat_w)
joint_pos_des = ik_controller.compute(ee_pos_w, ee_quat_w, jacobian, current_joint_pos)
joint_pos_target = robot.data.joint_pos[0].clone()
# Update joints: 6 from IK + 1 from button control (correct by design)
joint_pos_target[arm_joint_indices] = joint_pos_des[0] # panda_joint1-6 from IK
joint_pos_target[6] = ee_rotation_angle # panda_joint7 - end-effector rotation (button C)
joint_pos_target[[-2, -1]] = gripper_target # gripper
robot.set_joint_position_target(joint_pos_target.unsqueeze(0))
for _ in range(5):
scene.write_data_to_sim()
sim.step()
scene.update(sim_dt)
count += 1
# get contact forces and apply force feedback
left_finger_forces = left_finger_sensor.data.net_forces_w[0, 0]
right_finger_forces = right_finger_sensor.data.net_forces_w[0, 0]
total_contact_force = (left_finger_forces + right_finger_forces) * 0.5
haply_device.push_force(forces=total_contact_force.unsqueeze(0), position=torch.tensor([0]))
def main():
"""Main function to set up and run the Haply teleoperation demo."""
sim_cfg = sim_utils.SimulationCfg(device=args_cli.device, dt=1 / 200)
sim = sim_utils.SimulationContext(sim_cfg)
# set the simulation view
sim.set_camera_view([1.6, 1.0, 1.70], [0.4, 0.0, 1.0])
scene_cfg = FrankaHaplySceneCfg(num_envs=args_cli.num_envs, env_spacing=2.0)
scene = InteractiveScene(scene_cfg)
# Create Haply device
haply_cfg = HaplyDeviceCfg(
websocket_uri=args_cli.websocket_uri,
pos_sensitivity=args_cli.pos_sensitivity,
sim_device=args_cli.device,
limit_force=2.0,
)
haply_device = HaplyDevice(cfg=haply_cfg)
print(f"[INFO] Haply connected: {args_cli.websocket_uri}")
sim.reset()
run_simulator(sim, scene, haply_device)
if __name__ == "__main__":
main()
simulation_app.close()
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