BEHAVIOR-1K v3.7.1
In this release, we fixed various bugs and added more features/supports for the 1st BEHAVIOR challenge. Visit https://behavior.stanford.edu/ for more information!
Updates
- Removed
grasp_leftandgrasp_rightfrom robot proprioception and updated the demo dataset accordingly.- Now, the dimension of
observation.statein the dataset is 256 instead of 258
- Now, the dimension of
- Updated task-instances dataset, included 2 more metadata files for data replay
- Fixed library errors (
av,gspread,pandas,cffi) during installation - Added
RGBLowResWrapperand set it to be the default wrapper during evaluation rollout - Added GOP-level randomization to
BehaviorLeRobotDatasetfor faster data access during training - Added point cloud modality to vision sensor
- Updated camera relative pose to base implementation, changed
n_render_iterationsto 1 during evaluation rollout - Fixed bugs in demo replay script
- Added
NO_OMNI_LOGmacro - Updated challenge rules and documentations:
- Changed evaluation rollout number from 20 * 5 to 10 * 1
- Specified robot base global pose is not allowed in standard track
- Added video recordings as part of the submission
To migrate from v3.7.0 to v3.7.1
- If you already downloaded the demo dataset, please update this by syncing local dataset with HF
Specify task names under
ds = BehaviorLeRobotDataset( repo_id="behavior-1k/2025-challenge-demos", root=PATH_TO_DATASET_ROOT, tasks=LIST_OF_TASK_NAMES, download_videos=False, local_only=False, force_cache_sync=True )tasks, or set toNoneif you want to update all tasks.
If you are only downloading the dataset, you can safely exit the program after seeing something likeGenerating train split: 23346708 examples [03:25, 112135.76 examples/s] - Pull the latest code from
v3.7.1(79f0f5), then within the behavior conda environment run:./setup.sh --bddl --omnigibson --dataset
Full Changelog: v3.7.0...v3.7.1
What's Changed
Full Changelog: v3.7.0...v3.7.1