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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`)
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