
AI Agents Train Robots Autonomously, Achieving High Success Rates
Nvidia researchers, in collaboration with Carnegie Mellon and UC Berkeley, developed ENPIRE, a harness enabling AI agents to autonomously train robots. The system achieved a 99% success rate on tasks like cutting zip ties and inserting GPUs, outperforming human-led methods, but also revealed limitations in AI efficiency and resource utilization.



















