Artificial Intelligence #ai#robotics
ENPIRE Framework Enables Autonomous Robot Policy Self-Improvement for Real-World Manipulation Tasks
Researchers introduce ENPIRE, a harness framework that enables coding agents to autonomously improve robot policies through a closed-loop feedback routine. The system achieved 99% success rate on challenging manipulation tasks including organizing a pin box and fastening a zip tie. This approach minimizes human effort in real-world robotics training.
Jun 20, 2026 1 source