Bunker

Results 11 issues of Bunker

thank for you work!!! - Chunk size is the most important param to tune when applying ACT to a new environment. One chunk should correspond to ~1 secs wall-clock robot...

After collecting demonstrations in the robosuite env, and then converting them using the conversion script provided, there seems to be an issue of action not being in the scale [-1,...

Hi,thank you for your work. when I run ./ibc/run_tests.sh it tell me **Traceback (most recent call last): File "/home/nmz/ibc/data/dataset_test.py", line 25, in from ibc.environments.block_pushing import block_pushing # pylint: disable=unused-import File...

I collect my wipe datase from robosuite python dataset_states_to_obs.py --dataset /home/xxx/robomimic/demo.hdf5 --output_name image_dense.hdf5 --done_mode 2 --camera_names agentview robot0_eye_in_hand --camera_height 84 --camera_width 84 I want to train with bc_transformer python train.py...

I collect my wipe datase from robosuite using spacemouse to train with robomimic python dataset_states_to_obs.py --dataset /home/xxx/robomimic/demo.hdf5 --output_name image_dense.hdf5 --done_mode 2 --camera_names agentview robot0_eye_in_hand --camera_height 84 --camera_width 84 I want...

Thank you for you great work! Robot reach task, reach_env_cfg CommadCfg UniformPoseCommand and ActionCfg I noticed that your command provides the end-effector position, while the policy outputs actions corresponding to...

question

System Info Describe the characteristic of your environment: Commit: https://github.com/NVIDIA-Omniverse/orbit/commit/670a8c97db645d50a3ea89b06f7366fc2212fc06 Isaac Sim Version: 2023.1.1 OS: Ubuntu 20.04 GPU: RTX 3080Ti CUDA: 12.2 GPU Driver: 535.161.07 RAM:64G python source/standalone/workflows/rsl_rl/train.py --task Isaac-Reach-UR10-v0...

class omni.isaac.orbit.envs.mdp.commands.commands_cfg.TerrainBasedPose2dCommandCfg Is this class for specifying a point in the environment for the robotic arm to reach? How do I know the coordinates of a point on the table?...

Hi, I am wondering where I can find out how the get_observation function is fulfilled, it is a declaration of abstract method in vec_env.py. I found you answer here https://github.com/leggedrobotics/rsl_rl/issues/11....

[train_robomimic_image_workspace.yaml](https://github.com/real-stanford/diffusion_policy/blob/main/diffusion_policy/config/train_robomimic_image_workspace.yaml) What does this configuration file mean? Will the data from robomimic be used to train with your method? I want to collect my data from robomimic and train with...