unitree_rl_gym
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unitreerobotics
您好，我使用的`pip install unitree_sdk2py`安装的`unitree_sdk2py`，但是运行时报错找不到crc库， ~~~python OSError: /home/lin/software/miniconda3/envs/tv/lib/python3.8/site-packages/unitree_sdk2py/utils/lib/crc_amd64.so: cannot open shared object file: No such file or directory ~~~ 我应该怎么解决，感谢
when I run the code, the problem is "python deploy/deploy_mujoco/deploy_mujoco.py g1.yaml 1 terminate called after throwing an instance of 'c10::Error' what(): isTuple()INTERNAL ASSERT FAILED at "../aten/src/ATen/core/ivalue_inl.h":1400, please report a bug...
python train.py --task=h1 Importing module 'gym_37' (/home/yq/isaacgym/python/isaacgym/_bindings/linux-x86_64/gym_37.so) Setting GYM_USD_PLUG_INFO_PATH to /home/yq/isaacgym/python/isaacgym/_bindings/linux-x86_64/usd/plugInfo.json PyTorch version 1.10.0+cu113 Device count 1 /home/yq/isaacgym/python/isaacgym/_bindings/src/gymtorch Using /home/yq/.cache/torch_extensions/py37_cu113 as PyTorch extensions root... Emitting ninja build file /home/yq/.cache/torch_extensions/py37_cu113/gymtorch/build.ninja... Building...
Installing collected packages: unitree_rl_gym Attempting uninstall: unitree_rl_gym Found existing installation: unitree_rl_gym 1.0.0 Uninstalling unitree_rl_gym-1.0.0: Successfully uninstalled unitree_rl_gym-1.0.0 DEPRECATION: Legacy editable install of unitree_rl_gym==1.0.0 from file:///home/meta/miniconda3/envs/rl-go2/unitree_rl_gym (setup.py develop) is deprecated. pip...
I notice that num_dofs = 19, and num_actions = 10. I wonder where defines the mapping relationship between actions (output of the RL policy) and actual joints. Thanks a lot!
I'm trying to train the model and I'm getting the error: ``` python3 train.py --task=go2 Importing module 'gym_38' (/homes/corcodel/isaacgym/python/isaacgym/_bindings/linux-x86_64/gym_38.so) Setting GYM_USD_PLUG_INFO_PATH to /homes/corcodel/isaacgym/python/isaacgym/_bindings/linux-x86_64/usd/plugInfo.json PyTorch version 1.10.0+cu113 Device count 1 /homes/corcodel/isaacgym/python/isaacgym/_bindings/src/gymtorch...
Hi, I used the pre-trained and self-trained G1 policy, but the real world performance is quite poor. My G1 can barely walk for a few seconds and then it will...
