线,.

Qi Ye1, Qingtao Liu1, Siyun Wang1

  • 1College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China.

Science robotics
|January 28, 2026
PubMed
概括

本研究介绍了机器人手的两阶段学习框架,通过视觉触觉集成和统一的多任务策略,实现类似人类的灵敏度. 该系统在复杂的操纵任务中以低成本传感实现了高成功率.

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