---
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`)