Industrial pick-and-place validation benchmark for Vision-Language-Action (VLA) models. 68 scenarios across nominal (20), edge-case (15), adversarial (10), and domain-randomized (23) categories. Franka Panda arm in NVIDIA Isaac Sim 5.1.

pip install robogate-env lerobot>=0.5.1

pip install -e git+https://github.com/liveplex-cpu/robogate#subdirectory=web/lerobot-envhub

import robogate_env #… See the full description on the dataset page: https://huggingface.co/datasets/liveplex/robogate-env.