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README.md
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---
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license: mit
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library_name: lerobot
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tags:
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- robotics
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- vla
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- benchmark
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- manipulation
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- sim
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- isaac-sim
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datasets:
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- liveplex/robogate-failure-dictionary
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---
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# RoboGate / PickPlace-68-v0
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Industrial pick-and-place validation benchmark for Vision-Language-Action
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(VLA) models. 68 scenarios across nominal (20), edge-case (15), adversarial
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(10), and domain-randomized (23) categories. Franka Panda arm in
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NVIDIA Isaac Sim 5.1.
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## Install
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```bash
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pip install robogate-env lerobot>=0.5.1
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# or directly from source:
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pip install -e git+https://github.com/liveplex-cpu/robogate#subdirectory=web/lerobot-envhub
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```
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## Load
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```python
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import robogate_env # triggers gym registration
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import gymnasium as gym
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env = gym.make("robogate/PickPlace-68-v0")
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obs, info = env.reset(seed=42)
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# ... policy loop ...
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```
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## Scenarios
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- `nominal` x 20
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- `edge_cases` x 15
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- `adversarial` x 10
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- `domain_randomization` x 23
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## Citation
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```bibtex
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@misc{liveplex2026robogate,
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title = {RoboGate: A Validation Gate for Industrial VLA Policy Deployment},
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author = {Liveplex Research Team},
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year = {2026},
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url = {https://robogate.io}
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}
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```
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- Repo: https://github.com/liveplex-cpu/robogate
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- Dataset: https://huggingface.co/datasets/liveplex/robogate-failure-dictionary
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- EnvHub id: `liveplex/robogate-env` (version `0.1.0`)
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