Sample-efficient and reliable policy comparison is essential for both fast design iteration and reproducible baseline comparison, where expensive hardware eval remains the gold standard. Check out this awesome RSS work led by

on a new, general framework!

Robot evaluation is an open problem, especially in the age of foundation models. Check out this blog post sharing actionable insights from our RSS Workshop last year, highlighting challenges and describing best practices. Huge thanks to

for leading this effort!

A huge shout-out to TRI's VLA team for the public release of VLA Foundry! You can take full control of VLA training with this fully open-sourced codebase, which comes with a nice GUI dashboard with rigorous policy comparison powered by STEP🪜 tri-ml.github.io/step/

Congrats to the

team on this remarkable contribution to the robotics community by open-sourcing "everything" including code, data, and all the valuable knowledge! Our TLU team at TRI is fortunate to have collaborated on statistical evaluation and analysis.