
ENPIRE lets coding agents improve robot policies on real hardware
ENPIRE connects coding agents to real robots, lets them propose policy changes, tests those changes through automated reset and verification loops, and keeps the improvements that work.
This is not another agent wrapper. The interesting part is closed-loop physical experimentation: agents write training code, run it on robots, measure success, and iterate without a human in the loop.
Filed asENPIRE: Agentic Robot Policy Self-Improvement in the Real World



