# Copyright (c) 2022 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. ########################################################################### # Humanoid environment # # Shows how to set up a simulation of a rigid-body Humanoid articulation based # on the OpenAI gym environment using the Environment class and MCJF # importer. Note this example does not include a trained policy. # ########################################################################### import os import math import warp as wp import warp.sim from environment import Environment, run_env class HumanoidEnvironment(Environment): sim_name = "env_humanoid" env_offset = (2.0, 0.0, 2.0) opengl_render_settings = dict(scaling=1.0) usd_render_settings = dict(scaling=100.0) sim_substeps_euler = 32 sim_substeps_xpbd = 5 xpbd_settings = dict( iterations=2, joint_linear_relaxation=0.7, joint_angular_relaxation=0.5, rigid_contact_relaxation=1.0, rigid_contact_con_weighting=True, ) def create_articulation(self, builder): wp.sim.parse_mjcf( os.path.join(os.path.dirname(__file__), "../assets/nv_humanoid.xml"), builder, stiffness=0.0, damping=0.1, armature=0.007, armature_scale=10.0, contact_ke=1.0e4, contact_kd=1.0e2, contact_kf=1.0e2, contact_mu=0.5, contact_restitution=0.0, limit_ke=1.0e2, limit_kd=1.0e1, enable_self_collisions=True, up_axis="y", ) builder.joint_q[:7] = [0.0, 1.7, 0.0, *wp.quat_from_axis_angle(wp.vec3(1.0, 0.0, 0.0), -math.pi * 0.5)] if __name__ == "__main__": run_env(HumanoidEnvironment)