English(EN) CASIA Adds Fingertip Touch to Robot Insertion, Lifting 0.05 mm Clearance Success From 52% to 67%

触觉反馈与模仿学习提升机器人插入精度

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-02 02:12

研究人员开发了一种新的机器人插入任务方法，显著提高了精度。通过结合用于抓取的模仿学习和由触觉反馈增强的强化学习，该系统能够成功执行0.05毫米间隙的插入任务。该方法已显示出成功率的显著提高，从52%升至67%，并降低了过程中所需的峰值接触力。 AI

影响增强了机器人操作能力，可能改进制造业和装配自动化。

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Pandaily TIER_1 English(EN) · [email protected] (Pandaily) · 2026-11-02 02:12

中国科学院自动化研究所为机器人抓取增加指尖触觉，将0.05毫米间隙的成功率从52%提升至67%

CASIA's IROS 2026 paper pairs imitation learning for reaching with tactile-augmented RL for insertion, lifting 0.05 mm success from 52% to 67% and cutting peak contact force 60%.