| --- |
| license: mit |
| library_name: lerobot |
| tags: |
| - robotics |
| - vla |
| - benchmark |
| - manipulation |
| - sim |
| - isaac-sim |
| datasets: |
| - liveplex/robogate-failure-dictionary |
| --- |
| |
| # RoboGate / PickPlace-68-v0 |
|
|
| 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. |
|
|
| ## Install |
|
|
| ```bash |
| pip install robogate-env lerobot>=0.5.1 |
| # or directly from source: |
| pip install -e git+https://github.com/liveplex-cpu/robogate#subdirectory=web/lerobot-envhub |
| ``` |
|
|
| ## Load |
|
|
| ```python |
| import robogate_env # triggers gym registration |
| import gymnasium as gym |
| |
| env = gym.make("robogate/PickPlace-68-v0") |
| obs, info = env.reset(seed=42) |
| # ... policy loop ... |
| ``` |
|
|
| ## Scenarios |
|
|
| - `nominal` x 20 |
| - `edge_cases` x 15 |
| - `adversarial` x 10 |
| - `domain_randomization` x 23 |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{liveplex2026robogate, |
| title = {RoboGate: A Validation Gate for Industrial VLA Policy Deployment}, |
| author = {Liveplex Research Team}, |
| year = {2026}, |
| url = {https://robogate.io} |
| } |
| ``` |
|
|
| - Repo: https://github.com/liveplex-cpu/robogate |
| - Dataset: https://huggingface.co/datasets/liveplex/robogate-failure-dictionary |
| - EnvHub id: `liveplex/robogate-env` (version `0.1.0`) |
|
|
