README.md

metadata

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:

• 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. Upload your own CSV to evaluate your policies.