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232 | # Copyright (c) 2022-2024, The Isaac Lab Project Developers.
# All rights reserved.
#
# SPDX-License-Identifier: BSD-3-Clause
"""
This script demonstrates different single-arm manipulators.
.. code-block:: bash
# Usage
./isaaclab.sh -p source/standalone/demos/arms.py
"""
"""Launch Isaac Sim Simulator first."""
import argparse
from omni.isaac.lab.app import AppLauncher
# add argparse arguments
parser = argparse.ArgumentParser(description="This script demonstrates different single-arm manipulators.")
# append AppLauncher cli args
AppLauncher.add_app_launcher_args(parser)
# parse the arguments
args_cli = parser.parse_args()
# launch omniverse app
app_launcher = AppLauncher(args_cli)
simulation_app = app_launcher.app
"""Rest everything follows."""
import numpy as np
import torch
import omni.isaac.core.utils.prims as prim_utils
import omni.isaac.lab.sim as sim_utils
from omni.isaac.lab.assets import Articulation
from omni.isaac.lab.utils.assets import ISAAC_NUCLEUS_DIR
##
# Pre-defined configs
##
# isort: off
from omni.isaac.lab_assets import (
FRANKA_PANDA_CFG,
UR10_CFG,
KINOVA_JACO2_N7S300_CFG,
KINOVA_JACO2_N6S300_CFG,
KINOVA_GEN3_N7_CFG,
SAWYER_CFG,
)
# isort: on
def define_origins(num_origins: int, spacing: float) -> list[list[float]]:
"""Defines the origins of the the scene."""
# create tensor based on number of environments
env_origins = torch.zeros(num_origins, 3)
# create a grid of origins
num_rows = np.floor(np.sqrt(num_origins))
num_cols = np.ceil(num_origins / num_rows)
xx, yy = torch.meshgrid(torch.arange(num_rows), torch.arange(num_cols), indexing="xy")
env_origins[:, 0] = spacing * xx.flatten()[:num_origins] - spacing * (num_rows - 1) / 2
env_origins[:, 1] = spacing * yy.flatten()[:num_origins] - spacing * (num_cols - 1) / 2
env_origins[:, 2] = 0.0
# return the origins
return env_origins.tolist()
def design_scene() -> tuple[dict, list[list[float]]]:
"""Designs the scene."""
# Ground-plane
cfg = sim_utils.GroundPlaneCfg()
cfg.func("/World/defaultGroundPlane", cfg)
# Lights
cfg = sim_utils.DomeLightCfg(intensity=2000.0, color=(0.75, 0.75, 0.75))
cfg.func("/World/Light", cfg)
# Create separate groups called "Origin1", "Origin2", "Origin3"
# Each group will have a mount and a robot on top of it
origins = define_origins(num_origins=6, spacing=2.0)
# Origin 1 with Franka Panda
prim_utils.create_prim("/World/Origin1", "Xform", translation=origins[0])
# -- Table
cfg = sim_utils.UsdFileCfg(usd_path=f"{ISAAC_NUCLEUS_DIR}/Props/Mounts/SeattleLabTable/table_instanceable.usd")
cfg.func("/World/Origin1/Table", cfg, translation=(0.55, 0.0, 1.05))
# -- Robot
franka_arm_cfg = FRANKA_PANDA_CFG.replace(prim_path="/World/Origin1/Robot")
franka_arm_cfg.init_state.pos = (0.0, 0.0, 1.05)
franka_panda = Articulation(cfg=franka_arm_cfg)
# Origin 2 with UR10
prim_utils.create_prim("/World/Origin2", "Xform", translation=origins[1])
# -- Table
cfg = sim_utils.UsdFileCfg(
usd_path=f"{ISAAC_NUCLEUS_DIR}/Props/Mounts/Stand/stand_instanceable.usd", scale=(2.0, 2.0, 2.0)
)
cfg.func("/World/Origin2/Table", cfg, translation=(0.0, 0.0, 1.03))
# -- Robot
ur10_cfg = UR10_CFG.replace(prim_path="/World/Origin2/Robot")
ur10_cfg.init_state.pos = (0.0, 0.0, 1.03)
ur10 = Articulation(cfg=ur10_cfg)
# Origin 3 with Kinova JACO2 (7-Dof) arm
prim_utils.create_prim("/World/Origin3", "Xform", translation=origins[2])
# -- Table
cfg = sim_utils.UsdFileCfg(usd_path=f"{ISAAC_NUCLEUS_DIR}/Props/Mounts/ThorlabsTable/table_instanceable.usd")
cfg.func("/World/Origin3/Table", cfg, translation=(0.0, 0.0, 0.8))
# -- Robot
kinova_arm_cfg = KINOVA_JACO2_N7S300_CFG.replace(prim_path="/World/Origin3/Robot")
kinova_arm_cfg.init_state.pos = (0.0, 0.0, 0.8)
kinova_j2n7s300 = Articulation(cfg=kinova_arm_cfg)
# Origin 4 with Kinova JACO2 (6-Dof) arm
prim_utils.create_prim("/World/Origin4", "Xform", translation=origins[3])
# -- Table
cfg = sim_utils.UsdFileCfg(usd_path=f"{ISAAC_NUCLEUS_DIR}/Props/Mounts/ThorlabsTable/table_instanceable.usd")
cfg.func("/World/Origin4/Table", cfg, translation=(0.0, 0.0, 0.8))
# -- Robot
kinova_arm_cfg = KINOVA_JACO2_N6S300_CFG.replace(prim_path="/World/Origin4/Robot")
kinova_arm_cfg.init_state.pos = (0.0, 0.0, 0.8)
kinova_j2n6s300 = Articulation(cfg=kinova_arm_cfg)
# Origin 5 with Sawyer
prim_utils.create_prim("/World/Origin5", "Xform", translation=origins[4])
# -- Table
cfg = sim_utils.UsdFileCfg(usd_path=f"{ISAAC_NUCLEUS_DIR}/Props/Mounts/SeattleLabTable/table_instanceable.usd")
cfg.func("/World/Origin5/Table", cfg, translation=(0.55, 0.0, 1.05))
# -- Robot
kinova_arm_cfg = KINOVA_GEN3_N7_CFG.replace(prim_path="/World/Origin5/Robot")
kinova_arm_cfg.init_state.pos = (0.0, 0.0, 1.05)
kinova_gen3n7 = Articulation(cfg=kinova_arm_cfg)
# Origin 6 with Kinova Gen3 (7-Dof) arm
prim_utils.create_prim("/World/Origin6", "Xform", translation=origins[5])
# -- Table
cfg = sim_utils.UsdFileCfg(
usd_path=f"{ISAAC_NUCLEUS_DIR}/Props/Mounts/Stand/stand_instanceable.usd", scale=(2.0, 2.0, 2.0)
)
cfg.func("/World/Origin6/Table", cfg, translation=(0.0, 0.0, 1.03))
# -- Robot
sawyer_arm_cfg = SAWYER_CFG.replace(prim_path="/World/Origin6/Robot")
sawyer_arm_cfg.init_state.pos = (0.0, 0.0, 1.03)
sawyer = Articulation(cfg=sawyer_arm_cfg)
# return the scene information
scene_entities = {
"franka_panda": franka_panda,
"ur10": ur10,
"kinova_j2n7s300": kinova_j2n7s300,
"kinova_j2n6s300": kinova_j2n6s300,
"kinova_gen3n7": kinova_gen3n7,
"sawyer": sawyer,
}
return scene_entities, origins
def run_simulator(sim: sim_utils.SimulationContext, entities: dict[str, Articulation], origins: torch.Tensor):
"""Runs the simulation loop."""
# Define simulation stepping
sim_dt = sim.get_physics_dt()
sim_time = 0.0
count = 0
# Simulate physics
while simulation_app.is_running():
# reset
if count % 200 == 0:
# reset counters
sim_time = 0.0
count = 0
# reset the scene entities
for index, robot in enumerate(entities.values()):
# root state
root_state = robot.data.default_root_state.clone()
root_state[:, :3] += origins[index]
robot.write_root_state_to_sim(root_state)
# set joint positions
joint_pos, joint_vel = robot.data.default_joint_pos.clone(), robot.data.default_joint_vel.clone()
robot.write_joint_state_to_sim(joint_pos, joint_vel)
# clear internal buffers
robot.reset()
print("[INFO]: Resetting robots state...")
# apply random actions to the robots
for robot in entities.values():
# generate random joint positions
joint_pos_target = robot.data.default_joint_pos + torch.randn_like(robot.data.joint_pos) * 0.1
joint_pos_target = joint_pos_target.clamp_(
robot.data.soft_joint_pos_limits[..., 0], robot.data.soft_joint_pos_limits[..., 1]
)
# apply action to the robot
robot.set_joint_position_target(joint_pos_target)
# write data to sim
robot.write_data_to_sim()
# perform step
sim.step()
# update sim-time
sim_time += sim_dt
count += 1
# update buffers
for robot in entities.values():
robot.update(sim_dt)
def main():
"""Main function."""
# Initialize the simulation context
sim_cfg = sim_utils.SimulationCfg()
sim = sim_utils.SimulationContext(sim_cfg)
# Set main camera
sim.set_camera_view([3.5, 0.0, 3.2], [0.0, 0.0, 0.5])
# design scene
scene_entities, scene_origins = design_scene()
scene_origins = torch.tensor(scene_origins, device=sim.device)
# Play the simulator
sim.reset()
# Now we are ready!
print("[INFO]: Setup complete...")
# Run the simulator
run_simulator(sim, scene_entities, scene_origins)
if __name__ == "__main__":
# run the main function
main()
# close sim app
simulation_app.close()
|