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implemented humanoid bench tasks with unitree H1 robot in mujoco mpc 85d9bc3 google-cla bot commented Jun 6, 2024 Thanks for your pull request! It looks like this may be your first contribution to a Google open source project. Before we can look at your pull request, you'll need to...
解锁机械狗仿真场景,好像童年时的电子宠物 | 今天初步把Quadruped-PyMPC仿真包的文件构成理解了一遍,并重点测试config.py的各项参数,解锁不同的狗与场景。 四条狗中,mini-cheetah的场景最丰富,错误却也最多;像图七这种好像腿受伤的样子,再度让我联想起《钢炼》中的合成兽😅。。
25 changes: 25 additions & 0 deletions 25 python/mujoco_mpc/agent_test.py Original file line numberDiff line numberDiff line change @@ -366,6 +366,31 @@ def test_set_task_parameters_from_another_agent(self): self.assertEqual(agent.get_task_parameters()["Goal"], 14) def test_best_...
2 changes: 1 addition & 1 deletion 2 python/mujoco_mpc/demos/agent/cartpole.py Original file line numberDiff line numberDiff line change @@ -28,7 +28,7 @@ # model model_path = ( pathlib.Path(os.path.abspath("")).parent.parent.parent / "mujoco_mpc/${path}.xml" / "mujoco_mpc...
As discussed in chat, we should implement a noisy state estimator in order to test the robustness of the planners. It would be useful to be able to specify the noise level associated with each state estimate.
The C compiler "/usr/bin/c++" is not able to compile a simple test program. Hello I used clang14 to build this program but met such problem.