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NVIDIA 引入自修复机器人系统 EPIRE 实现闭环自主开发

来源: twitter关注列表
作者: Jim Fan (@DrJimFan)
发布于: 2026-06-16
收录于: 2026-06-16
AI 推荐理由
技术细节丰富,值得分析闭环机制优化方法
核心解读
NVIDIA 实验室提出 EPIRE 系统,完成机器人开发闭环:通过文献检索、实现代码、训练部署、日志重构等全循环,无人干预且在实际机器人任务中达到 99% 准确率。
全文
Project site: https://research.nvidia.com/labs/gear/enpire/ Wenli has written an excellent technical thread, please check it out! https://x.com/_wenlixiao/status/2066913044652015727?s=20 > **引用原帖 Wenli Xiao (@_wenlixiao):** > Autoresearch just left the sandbox and entered the embodied world. > We are excited to introduce 𝐄𝐍𝐏𝐈𝐑𝐄: a system that drops frontier coding agents onto a fleet of real robots and hands them the entire loop: > reset the environment → search the literature → implement ideas and build the infra → train and deploy → self-verify → analyze the logs and rewrite the code → repeat, until the policy is reliable in the real world. No human in the loop. > Guided only by the robot's self-proposed, heuristic-based success signal, the agents hill-climb to 99% on dexterous real-world tasks: organizing pins into a box, seating GPUs, tying zip-ties. > We envision the bottleneck in robotics shifting — from building smarter algorithms to building the closed physical feedback loops an agent can finally turn on its own. > 🔗 https://t.co/3tL2ArGo3v > From @NVIDIA @CMU_Robotics @Berkeley_AI > 🧵 > https://x.com/_wenlixiao/status/2066913044652015727
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