# 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 different types of markers. .. code-block:: bash # Usage ./isaaclab.sh -p scripts/demos/markers.py """ """Launch Isaac Sim Simulator first.""" import argparse from isaaclab.app import AppLauncher # add argparse arguments parser = argparse.ArgumentParser(description="This script demonstrates different types of markers.") # 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.markers import VisualizationMarkers, VisualizationMarkersCfg from isaaclab.sim import SimulationContext from isaaclab.utils.assets import ISAAC_NUCLEUS_DIR, ISAACLAB_NUCLEUS_DIR from isaaclab.utils.math import quat_from_angle_axis def define_markers() -> VisualizationMarkers: """Define markers with various different shapes.""" marker_cfg = VisualizationMarkersCfg( prim_path="/Visuals/myMarkers", markers={ "frame": sim_utils.UsdFileCfg( usd_path=f"{ISAAC_NUCLEUS_DIR}/Props/UIElements/frame_prim.usd", scale=(0.5, 0.5, 0.5), ), "arrow_x": sim_utils.UsdFileCfg( usd_path=f"{ISAAC_NUCLEUS_DIR}/Props/UIElements/arrow_x.usd", scale=(1.0, 0.5, 0.5), visual_material=sim_utils.PreviewSurfaceCfg(diffuse_color=(0.0, 1.0, 1.0)), ), "cube": sim_utils.CuboidCfg( size=(1.0, 1.0, 1.0), visual_material=sim_utils.PreviewSurfaceCfg(diffuse_color=(1.0, 0.0, 0.0)), ), "sphere": sim_utils.SphereCfg( radius=0.5, visual_material=sim_utils.PreviewSurfaceCfg(diffuse_color=(0.0, 1.0, 0.0)), ), "cylinder": sim_utils.CylinderCfg( radius=0.5, height=1.0, visual_material=sim_utils.PreviewSurfaceCfg(diffuse_color=(0.0, 0.0, 1.0)), ), "cone": sim_utils.ConeCfg( radius=0.5, height=1.0, visual_material=sim_utils.PreviewSurfaceCfg(diffuse_color=(1.0, 1.0, 0.0)), ), "mesh": sim_utils.UsdFileCfg( usd_path=f"{ISAAC_NUCLEUS_DIR}/Props/Blocks/DexCube/dex_cube_instanceable.usd", scale=(10.0, 10.0, 10.0), ), "mesh_recolored": sim_utils.UsdFileCfg( usd_path=f"{ISAAC_NUCLEUS_DIR}/Props/Blocks/DexCube/dex_cube_instanceable.usd", scale=(10.0, 10.0, 10.0), visual_material=sim_utils.PreviewSurfaceCfg(diffuse_color=(1.0, 0.25, 0.0)), ), "robot_mesh": sim_utils.UsdFileCfg( usd_path=f"{ISAACLAB_NUCLEUS_DIR}/Robots/ANYbotics/ANYmal-C/anymal_c.usd", scale=(2.0, 2.0, 2.0), visual_material=sim_utils.GlassMdlCfg(glass_color=(0.0, 0.1, 0.0)), ), }, ) return VisualizationMarkers(marker_cfg) def main(): """Main function.""" # Load kit helper sim_cfg = sim_utils.SimulationCfg(dt=0.01, device=args_cli.device) sim = SimulationContext(sim_cfg) # Set main camera sim.set_camera_view([0.0, 18.0, 12.0], [0.0, 3.0, 0.0]) # Spawn things into stage # Lights cfg = sim_utils.DomeLightCfg(intensity=3000.0, color=(0.75, 0.75, 0.75)) cfg.func("/World/Light", cfg) # create markers my_visualizer = define_markers() # define a grid of positions where the markers should be placed num_markers_per_type = 5 grid_spacing = 2.0 # Calculate the half-width and half-height half_width = (num_markers_per_type - 1) / 2.0 half_height = (my_visualizer.num_prototypes - 1) / 2.0 # Create the x and y ranges centered around the origin x_range = torch.arange(-half_width * grid_spacing, (half_width + 1) * grid_spacing, grid_spacing) y_range = torch.arange(-half_height * grid_spacing, (half_height + 1) * grid_spacing, grid_spacing) # Create the grid x_grid, y_grid = torch.meshgrid(x_range, y_range, indexing="ij") x_grid = x_grid.reshape(-1) y_grid = y_grid.reshape(-1) z_grid = torch.zeros_like(x_grid) # marker locations marker_locations = torch.stack([x_grid, y_grid, z_grid], dim=1) marker_indices = torch.arange(my_visualizer.num_prototypes).repeat(num_markers_per_type) # Play the simulator sim.reset() # Now we are ready! print("[INFO]: Setup complete...") # Yaw angle yaw = torch.zeros_like(marker_locations[:, 0]) # Simulate physics while simulation_app.is_running(): # rotate the markers around the z-axis for visualization marker_orientations = quat_from_angle_axis(yaw, torch.tensor([0.0, 0.0, 1.0])) # visualize my_visualizer.visualize(marker_locations, marker_orientations, marker_indices=marker_indices) # roll corresponding indices to show how marker prototype can be changed if yaw[0].item() % (0.5 * torch.pi) < 0.01: marker_indices = torch.roll(marker_indices, 1) # perform step sim.step() # increment yaw yaw += 0.01 if __name__ == "__main__": # run the main function main() # close sim app simulation_app.close()