# Copyright (c) 2022-2026, The Isaac Lab Project Developers (https://github.com/isaac-sim/IsaacLab/blob/main/CONTRIBUTORS.md). # All rights reserved. # # SPDX-License-Identifier: BSD-3-Clause """This script demonstrates how to use the interactive scene interface to setup a scene with multiple prims. .. code-block:: bash # Usage ./isaaclab.sh -p scripts/tutorials/02_scene/create_scene.py --num_envs 32 """ """Launch Isaac Sim Simulator first.""" import argparse from isaaclab.app import AppLauncher # add argparse arguments parser = argparse.ArgumentParser(description="Tutorial on using the interactive scene interface.") parser.add_argument("--num_envs", type=int, default=2, help="Number of environments to spawn.") # 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 torch import isaaclab.sim as sim_utils from isaaclab.assets import ArticulationCfg, AssetBaseCfg from isaaclab.scene import InteractiveScene, InteractiveSceneCfg from isaaclab.sim import SimulationContext from isaaclab.utils import configclass ## # Pre-defined configs ## from isaaclab_assets import CARTPOLE_CFG # isort:skip @configclass class CartpoleSceneCfg(InteractiveSceneCfg): """Configuration for a cart-pole scene.""" # ground plane ground = AssetBaseCfg(prim_path="/World/defaultGroundPlane", spawn=sim_utils.GroundPlaneCfg()) # lights dome_light = AssetBaseCfg( prim_path="/World/Light", spawn=sim_utils.DomeLightCfg(intensity=3000.0, color=(0.75, 0.75, 0.75)) ) # articulation cartpole: ArticulationCfg = CARTPOLE_CFG.replace(prim_path="{ENV_REGEX_NS}/Robot") def run_simulator(sim: sim_utils.SimulationContext, scene: InteractiveScene): """Runs the simulation loop.""" # Extract scene entities # note: we only do this here for readability. robot = scene["cartpole"] # Define simulation stepping sim_dt = sim.get_physics_dt() count = 0 # Simulation loop while simulation_app.is_running(): # Reset if count % 500 == 0: # reset counter count = 0 # reset the scene entities # root state # we offset the root state by the origin since the states are written in simulation world frame # if this is not done, then the robots will be spawned at the (0, 0, 0) of the simulation world 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:]) # set joint positions with some noise joint_pos, joint_vel = robot.data.default_joint_pos.clone(), robot.data.default_joint_vel.clone() joint_pos += torch.rand_like(joint_pos) * 0.1 robot.write_joint_state_to_sim(joint_pos, joint_vel) # clear internal buffers scene.reset() print("[INFO]: Resetting robot state...") # Apply random action # -- generate random joint efforts efforts = torch.randn_like(robot.data.joint_pos) * 5.0 # -- apply action to the robot robot.set_joint_effort_target(efforts) # -- write data to sim scene.write_data_to_sim() # Perform step sim.step() # Increment counter count += 1 # Update buffers scene.update(sim_dt) def main(): """Main function.""" # Load kit helper sim_cfg = sim_utils.SimulationCfg(device=args_cli.device) sim = SimulationContext(sim_cfg) # Set main camera sim.set_camera_view([2.5, 0.0, 4.0], [0.0, 0.0, 2.0]) # Design scene scene_cfg = CartpoleSceneCfg(num_envs=args_cli.num_envs, env_spacing=2.0) scene = InteractiveScene(scene_cfg) # Play the simulator sim.reset() # Now we are ready! print("[INFO]: Setup complete...") # Run the simulator run_simulator(sim, scene) if __name__ == "__main__": # run the main function main() # close sim app simulation_app.close()