Yongkang Kong1, Guanyin Cheng2, Mengqin Zhang2

  • 1Chongqing Key Laboratory of Generic Technology and System of Service Robots, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China; School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.

Science bulletin
|May 22, 2024
PubMed
概括

这项研究介绍了一种新的灵活触觉传感器和一个压力滑动双分支卷积神经网络 (PSNet),用于机器人对象识别. 该系统在区分相似物体方面实现了高精度,超越了人类的能力.