File size: 8,135 Bytes
406662d | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 | # 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 tests the functionality of texture randomization applied to the cartpole scene.
"""
"""Launch Isaac Sim Simulator first."""
from isaaclab.app import AppLauncher
# launch omniverse app
app_launcher = AppLauncher(headless=True, enable_cameras=True)
simulation_app = app_launcher.app
"""Rest everything follows."""
import math
import pytest
import torch
import omni.usd
import isaaclab.envs.mdp as mdp
from isaaclab.envs import ManagerBasedEnv, ManagerBasedEnvCfg
from isaaclab.managers import EventTermCfg as EventTerm
from isaaclab.managers import ObservationGroupCfg as ObsGroup
from isaaclab.managers import ObservationTermCfg as ObsTerm
from isaaclab.managers import SceneEntityCfg
from isaaclab.utils import configclass
from isaaclab.utils.assets import NVIDIA_NUCLEUS_DIR
from isaaclab_tasks.manager_based.classic.cartpole.cartpole_env_cfg import CartpoleSceneCfg
@configclass
class ActionsCfg:
"""Action specifications for the environment."""
joint_efforts = mdp.JointEffortActionCfg(asset_name="robot", joint_names=["slider_to_cart"], scale=5.0)
@configclass
class ObservationsCfg:
"""Observation specifications for the environment."""
@configclass
class PolicyCfg(ObsGroup):
"""Observations for policy group."""
# observation terms (order preserved)
joint_pos_rel = ObsTerm(func=mdp.joint_pos_rel)
joint_vel_rel = ObsTerm(func=mdp.joint_vel_rel)
def __post_init__(self) -> None:
self.enable_corruption = False
self.concatenate_terms = True
# observation groups
policy: PolicyCfg = PolicyCfg()
@configclass
class EventCfg:
"""Configuration for events."""
# on prestartup apply a new set of textures
# note from @mayank: Changed from 'reset' to 'prestartup' to make test pass.
# The error happens otherwise on Kit thread which is not the main thread.
cart_texture_randomizer = EventTerm(
func=mdp.randomize_visual_texture_material,
mode="prestartup",
params={
"asset_cfg": SceneEntityCfg("robot", body_names=["cart"]),
"texture_paths": [
f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Bamboo_Planks/Bamboo_Planks_BaseColor.png",
f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Cherry/Cherry_BaseColor.png",
f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Oak/Oak_BaseColor.png",
f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Timber/Timber_BaseColor.png",
f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Timber_Cladding/Timber_Cladding_BaseColor.png",
f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Walnut_Planks/Walnut_Planks_BaseColor.png",
],
"event_name": "cart_texture_randomizer",
"texture_rotation": (math.pi / 2, math.pi / 2),
},
)
# on reset apply a new set of textures
pole_texture_randomizer = EventTerm(
func=mdp.randomize_visual_texture_material,
mode="reset",
params={
"asset_cfg": SceneEntityCfg("robot", body_names=["pole"]),
"texture_paths": [
f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Bamboo_Planks/Bamboo_Planks_BaseColor.png",
f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Cherry/Cherry_BaseColor.png",
f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Oak/Oak_BaseColor.png",
f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Timber/Timber_BaseColor.png",
f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Timber_Cladding/Timber_Cladding_BaseColor.png",
f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Walnut_Planks/Walnut_Planks_BaseColor.png",
],
"event_name": "pole_texture_randomizer",
"texture_rotation": (math.pi / 2, math.pi / 2),
},
)
reset_cart_position = EventTerm(
func=mdp.reset_joints_by_offset,
mode="reset",
params={
"asset_cfg": SceneEntityCfg("robot", joint_names=["slider_to_cart"]),
"position_range": (-1.0, 1.0),
"velocity_range": (-0.1, 0.1),
},
)
reset_pole_position = EventTerm(
func=mdp.reset_joints_by_offset,
mode="reset",
params={
"asset_cfg": SceneEntityCfg("robot", joint_names=["cart_to_pole"]),
"position_range": (-0.125 * math.pi, 0.125 * math.pi),
"velocity_range": (-0.01 * math.pi, 0.01 * math.pi),
},
)
@configclass
class EventCfgFallback:
"""Configuration for events that tests the fallback mechanism."""
# Test fallback when /visuals pattern doesn't match
test_fallback_texture_randomizer = EventTerm(
func=mdp.randomize_visual_texture_material,
mode="reset",
params={
"asset_cfg": SceneEntityCfg("robot", body_names=["slider"]),
"texture_paths": [
f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Bamboo_Planks/Bamboo_Planks_BaseColor.png",
f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Cherry/Cherry_BaseColor.png",
],
"event_name": "test_fallback_texture_randomizer",
"texture_rotation": (0.0, 0.0),
},
)
reset_cart_position = EventTerm(
func=mdp.reset_joints_by_offset,
mode="reset",
params={
"asset_cfg": SceneEntityCfg("robot", joint_names=["slider_to_cart"]),
"position_range": (-1.0, 1.0),
"velocity_range": (-0.1, 0.1),
},
)
@configclass
class CartpoleEnvCfg(ManagerBasedEnvCfg):
"""Configuration for the cartpole environment."""
# Scene settings
scene = CartpoleSceneCfg(env_spacing=2.5)
# Basic settings
actions = ActionsCfg()
observations = ObservationsCfg()
events = EventCfg()
def __post_init__(self):
"""Post initialization."""
# viewer settings
self.viewer.eye = [4.5, 0.0, 6.0]
self.viewer.lookat = [0.0, 0.0, 2.0]
# step settings
self.decimation = 4 # env step every 4 sim steps: 200Hz / 4 = 50Hz
# simulation settings
self.sim.dt = 0.005 # sim step every 5ms: 200Hz
@pytest.mark.parametrize("device", ["cpu", "cuda"])
def test_texture_randomization(device):
"""Test texture randomization for cartpole environment."""
# Create a new stage
omni.usd.get_context().new_stage()
try:
# Set the arguments
env_cfg = CartpoleEnvCfg()
env_cfg.scene.num_envs = 16
env_cfg.scene.replicate_physics = False
env_cfg.sim.device = device
# Setup base environment
env = ManagerBasedEnv(cfg=env_cfg)
try:
# Simulate physics
with torch.inference_mode():
for count in range(50):
# Reset every few steps to check nothing breaks
if count % 10 == 0:
env.reset()
# Sample random actions
joint_efforts = torch.randn_like(env.action_manager.action)
# Step the environment
env.step(joint_efforts)
finally:
env.close()
finally:
# Clean up stage
omni.usd.get_context().close_stage()
def test_texture_randomization_failure_replicate_physics():
"""Test texture randomization failure when replicate physics is set to True."""
# Create a new stage
omni.usd.get_context().new_stage()
try:
# Set the arguments
cfg_failure = CartpoleEnvCfg()
cfg_failure.scene.num_envs = 16
cfg_failure.scene.replicate_physics = True
# Test that creating the environment raises RuntimeError
with pytest.raises(RuntimeError):
env = ManagerBasedEnv(cfg_failure)
env.close()
finally:
# Clean up stage
omni.usd.get_context().close_stage()
|