liveplex2026MIT
RoboGate / PickPlace-68-v0
Industrial pick-and-place validation benchmark for Vision-Language-Action (VLA) models with 68 scenarios across nominal, edge-case, adversarial, and domain-randomized categories. Franka Panda arm in NVIDIA Isaac Sim 5.1.
Downloads0
Episodes68
Why This Matters for Physical AI
Provides a comprehensive validation benchmark for evaluating Vision-Language-Action models in industrial pick-and-place tasks across diverse scenarios including edge cases and adversarial conditions.
Technical Profile
- Modalities
- rgblanguage
- Robot Embodiments
- Franka Panda
- Environment
- simulation
- Task Types
- pick_and_placemanipulation
- Episodes
- 68
- Data Format
- LeRobot
- Annotation Types
- language_instructions
- License
- MIT
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