NVIDIA, CMU and Berkeley Unveil ENPIRE for Self-Improving Robot Policies

NVIDIA, CMU and UC Berkeley introduced ENPIRE, a closed-loop framework that lets coding agents autonomously improve robot policies in the real world, achieving a 99% success rate on dexterous manipulation tasks.

2026-10-05 ~ 2026-10-07 · 2 related posts

• NVIDIA's ENPIRE lets coding agents self-improve robot policies in the real world, hitting 99% success — chris_j_paxton · 2026-10-05
• ENPIRE: NVIDIA/CMU/Berkeley harness lets coding agents self-improve real robot policies to 99% success — chris_j_paxton · 2026-10-07