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OopsieVerse

OopsieVerse provides a damage-aware, simulator-agnostic framework and benchmark for evaluating and learning safer policies

Installation Steps

  1. Clone and enter the repository:
    • Linux / macOS: git clone https://github.com/UT-Austin-RobIn/oopsieverse.git && cd oopsieverse
    • Windows: git clone https://github.com/UT-Austin-RobIn/oopsieverse.git; cd oopsieverse
  2. Run the installer with python install.py --new_env and the simulators you need --robocasa or --behavior1k
  3. conda activate oopsieverse
  4. pip install -e .
  5. test OG installation by: python -m omnigibson.examples.robots.all_robots_visualizer
  6. test Robocasa installation by: python -m robocasa.demos.demo_kitchen_scenes

Commands

  1. playback
python scripts/playback.py --task_name shelve_item --playback --collect_hdf5_path tests/data/teleop_data/behavior1k/shelve_item_safe.hdf5 --playback_hdf5_path resources/playback_data/shelve_item_safe.hdf5 --demo_ids 0 1

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OopsieVerse provides a damage-aware, simulator-agnostic framework and benchmark for evaluating and learning safer policies

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