小米公司推出名为TacRefineNet的新型机器人精细抓取微调模型，该模型基于触觉反馈驱动，旨在提升机器人在复杂环境中对微小、易损或非结构化物体的抓取精度与稳定性。TacRefineNet通过融合高分辨率触觉传感器数据与视觉信息，实现闭环式抓取动作优化，支持毫秒级触觉响应与实时姿态调整。该模型已在小米实验室多款灵巧机械手平台上完成验证，可将细小电子元件、曲面玻璃片等典型工业微件的抓取成功率提升至...
Source Link小米公司推出名为TacRefineNet的新型机器人精细抓取微调模型，该模型基于触觉反馈驱动，旨在提升机器人在复杂环境中对微小、易损或非结构化物体的抓取精度与稳定性。TacRefineNet通过融合高分辨率触觉传感器数据与视觉信息，实现闭环式抓取动作优化，支持毫秒级触觉响应与实时姿态调整。该模型已在小米实验室多款灵巧机械手平台上完成验证，可将细小电子元件、曲面玻璃片等典型工业微件的抓取成功率提升至...
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