Nvidia Develops ENPIRE Framework to Let AI Agents Improve Robot Skills Autonomously
Nvidia announced ENPIRE, a harness framework developed with Carnegie Mellon University and UC Berkeley that lets AI agents like Claude Code and Codex autonomously improve real-world robot task execution. In tests, it achieved a 99% success rate on tasks like inserting a pin and cutting a cable tie by running a continuous improvement loop.