AI coding agents taught robots how to install GPUs and cut zip ties
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AI coding agents used for robotics, novel intersection of agent orchestration and hardware automation.
Nvidia GEAR lab's ENPIRE agent harness enables AI coding agents (OpenAI Codex with GPT-5.5, Claude Code with Opus 4.7, Kimi Code with K2.6) to autonomously train physical robots on tasks like GPU insertion and zip-tie cutting, achieving 99% success rates on manipulation tasks. The open-source framework uses four modules for automatic reset, policy refinement, parallel evaluation, and failure analysis via log ingestion and research papers. Eight-agent teams completed the Push-T task in two hours versus five for single agents, though idle time occurred when agents were busy reading logs or debugging.
Jeremy Hsu — Jeremy Hsu is a NYC-based reporter with nearly two decades of experience exploring a wide range of topics across deep tech and AI. He has previously written for New Scientist, Scientific American, IEEE Spectrum, Wired, Undark Magazine...