README.md

---
title: Robot Policy Evaluation Harness
emoji: 🤖
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: "5.29.0"
app_file: app.py
pinned: true
license: mit
short_description: Rigorous eval harness for robot policies
---

# Robot Policy Evaluation Harness

**Drop in your robot rollout data → get a statistically rigorous evaluation report.**

Implements best practices from [Kress-Gazit et al. (TRI/Cornell), arXiv:2409.09491](https://arxiv.org/abs/2409.09491):

- **① Bayesian Bernoulli** — honest uncertainty on success rates, not bare percentages
- **② SPARC smoothness** — motion quality from joint-space speed profiles  
- **③ STL safety scoring** — automatic constraint checking, no human video review

Demo runs on real [ALOHA bimanual robot data](https://huggingface.co/datasets/lerobot/aloha_static_cups_open). Upload your own CSV to evaluate your policies.