File size: 6,421 Bytes
83e0ecd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 | """
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
# initialize gym
gym = gymapi.acquire_gym()
# parse arguments
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
# configure sim
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()
# create viewer using the default camera properties
viewer = gym.create_viewer(sim, gymapi.CameraProperties())
if viewer is None:
raise ValueError('*** Failed to create viewer')
# add ground plane
plane_params = gymapi.PlaneParams()
gym.add_ground(sim, gymapi.PlaneParams())
# set up the env grid
num_envs = args.num_envs
num_per_row = int(sqrt(num_envs))
spacing = 4.5
if inverted_pyramid_test:
spacing = 12.0
# look at the first env
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)
# create list to mantain environment and asset handles
envs = []
box_handles = []
box_sizes = []
actor_handles = []
# create box assets w/ varying densities (measured in kg/m^3)
box_size = 0.5
box_density = 1
# AssetOptions enables loading assets with different properties
# Properties include density, angularDamping, maxAngularVelocity, linearDamping, maxLinearVelocity etc.
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):
# create env
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)
# add moving boxes to env
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):
# create env
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)
# add moving boxes to env
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):
# step the physics
gym.simulate(sim)
gym.fetch_results(sim, True)
# update the viewer
gym.step_graphics(sim)
gym.draw_viewer(viewer, sim, True)
# Wait for dt to elapse in real time.
# This synchronizes the physics simulation with the rendering rate.
gym.sync_frame_time(sim)
print('Done')
gym.destroy_viewer(viewer)
gym.destroy_sim(sim)
|