| """ |
| Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. |
| |
| NVIDIA CORPORATION and its licensors retain all intellectual property |
| and proprietary rights in and to this software, related documentation |
| and any modifications thereto. Any use, reproduction, disclosure or |
| distribution of this software and related documentation without an express |
| license agreement from NVIDIA CORPORATION is strictly prohibited. |
| |
| |
| Large mass-ratio test |
| ------------------------------- |
| A test of the simulation stability stacks of boxes with large mass ratio. There are two scenarios available: |
| - Same size boxes, the next level boxes are 10 times heavier compared to the box it is standing on |
| - Inverted pyramid of boxes, they have the same density but the next level boxes are 4 times larger and 4*4*4 = 64 heavier than previous level one |
| """ |
|
|
| from isaacgym import gymutil |
| from isaacgym import gymapi |
| from math import sqrt |
|
|
| |
| gym = gymapi.acquire_gym() |
|
|
| |
| args = gymutil.parse_arguments( |
| description="Large Mass Ratio Test", |
| custom_parameters=[ |
| {"name": "--num_envs", "type": int, "default": 100, "help": "Number of environments to create"}, |
| {"name": "--inverted_pyramid_test", "action": "store_true", "help": "Run test with stack of boxes of increasing sizes but the same density"}]) |
|
|
| inverted_pyramid_test = args.inverted_pyramid_test |
|
|
| |
| sim_params = gymapi.SimParams() |
| if args.physics_engine == gymapi.SIM_FLEX: |
| sim_params.substeps = 6 |
| sim_params.flex.num_inner_iterations = 5 |
| sim_params.flex.num_inner_iterations = 24 |
| sim_params.flex.relaxation = 0.7 |
| sim_params.flex.warm_start = 0.25 |
| displacement = 0.02 |
| elif args.physics_engine is gymapi.SIM_PHYSX: |
| sim_params.substeps = 6 |
| sim_params.physx.solver_type = 1 |
| sim_params.physx.num_position_iterations = 100 |
| sim_params.physx.num_velocity_iterations = 0 |
| sim_params.physx.num_threads = args.num_threads |
| sim_params.physx.use_gpu = args.use_gpu |
| sim_params.physx.rest_offset = 0.001 |
| displacement = 0.002 |
|
|
| sim_params.use_gpu_pipeline = False |
| if args.use_gpu_pipeline: |
| print("WARNING: Forcing CPU pipeline.") |
|
|
| sim = gym.create_sim(args.compute_device_id, args.graphics_device_id, args.physics_engine, sim_params) |
|
|
| if sim is None: |
| print("*** Failed to create sim") |
| quit() |
|
|
| |
| viewer = gym.create_viewer(sim, gymapi.CameraProperties()) |
| if viewer is None: |
| raise ValueError('*** Failed to create viewer') |
|
|
| |
| plane_params = gymapi.PlaneParams() |
| gym.add_ground(sim, gymapi.PlaneParams()) |
|
|
| |
| num_envs = args.num_envs |
| num_per_row = int(sqrt(num_envs)) |
| spacing = 4.5 |
| if inverted_pyramid_test: |
| spacing = 12.0 |
|
|
| |
| cam_pos = gymapi.Vec3(8.0, 6.5, 3.0) |
| cam_target = gymapi.Vec3(10.0, 6.0, 10.0) |
| if not inverted_pyramid_test: |
| cam_pos.y = 3.0 |
| cam_target.y = 1.9 |
|
|
| gym.viewer_camera_look_at(viewer, None, cam_pos, cam_target) |
|
|
| box_color = gymapi.Vec3(0.1, 0.9, 0.05) |
| env_lower = gymapi.Vec3(-spacing, 0.0, -spacing) |
| env_upper = gymapi.Vec3(spacing, spacing, spacing) |
|
|
| |
| envs = [] |
| box_handles = [] |
| box_sizes = [] |
| actor_handles = [] |
|
|
| |
| box_size = 0.5 |
| box_density = 1 |
|
|
| |
| |
| asset_options = gymapi.AssetOptions() |
| asset_options.thickness = 0.005 |
|
|
| if not inverted_pyramid_test: |
| stack_height = 5 |
|
|
| for dx in range(stack_height): |
| asset_options.density = box_density |
| asset_box = gym.create_box(sim, box_size, box_size, box_size, asset_options) |
| box_handles.append(asset_box) |
| box_density *= 10 |
|
|
| for i in range(num_envs): |
| |
| env = gym.create_env(sim, env_lower, env_upper, num_per_row) |
| envs.append(env) |
|
|
| box_color = gymapi.Vec3(0.2, 0.75, 0.18) |
| color_step = box_color.y / (stack_height - 1) |
|
|
| |
| for b in range(stack_height): |
| name = 'box_{}'.format(b) |
| actor_handles.append(gym.create_actor(env, box_handles[b], gymapi.Transform( |
| p=gymapi.Vec3(0., 0.5 * box_size + (box_size + displacement) * b + 0.001, 0.)), name, i, 0)) |
| gym.set_rigid_body_color(env, actor_handles[-1], 0, gymapi.MESH_VISUAL, box_color) |
| box_color.x += 0.85 * color_step * b |
| box_color.y -= color_step * b |
| box_color.z -= 0.04 * b |
| else: |
| stack_height = 5 |
| scale_factor = 2 |
| color_step = box_color.x / (stack_height - 1) |
|
|
| new_box_size = box_size |
| for dx in range(stack_height): |
| asset_options.density = 100 |
| asset_box = gym.create_box(sim, new_box_size, new_box_size, new_box_size, asset_options) |
| box_handles.append(asset_box) |
| box_sizes.append(new_box_size) |
| new_box_size *= scale_factor |
|
|
| print('Creating %d environments' % num_envs) |
| for i in range(num_envs): |
| |
| env = gym.create_env(sim, env_lower, env_upper, num_per_row) |
| envs.append(env) |
|
|
| start_height = 0.001 |
|
|
| box_color = gymapi.Vec3(0.9, 0.25, 0.15) |
| color_step = box_color.x / (stack_height - 1) |
|
|
| |
| for b in range(stack_height): |
| name = 'box_{}'.format(b) |
| start_height += (0.5 * box_sizes[b] + displacement) |
| actor_handles.append(gym.create_actor(env, box_handles[b], gymapi.Transform(p=gymapi.Vec3(0., start_height, 0.)), name, i, 0)) |
|
|
| box_color.x -= 0.9 * color_step * b |
| box_color.y -= 0.02 * color_step * b |
| box_color.z += 0.8 * color_step * b |
| gym.set_rigid_body_color(env, actor_handles[-1], 0, gymapi.MESH_VISUAL, box_color) |
|
|
| start_height += 0.5 * box_sizes[b] |
|
|
| while not gym.query_viewer_has_closed(viewer): |
|
|
| |
| gym.simulate(sim) |
| gym.fetch_results(sim, True) |
|
|
| |
| gym.step_graphics(sim) |
| gym.draw_viewer(viewer, sim, True) |
|
|
| |
| |
| gym.sync_frame_time(sim) |
|
|
| print('Done') |
|
|
| gym.destroy_viewer(viewer) |
| gym.destroy_sim(sim) |
|
|