k-Means-Based Tactile Data Recognition Method for Sharp and Dangerous Objects for Robots

A robot senses its surroundings through its "skin." Through this tactile sensing method, a robot can obtain tactile data of various shapes and sharp objects. Then, a robot can analyze whether objects are sharp and dangerous through these tactile data. This study proposes a k-means algorith...

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Bibliographic Details

Published in:	2022 IEEE 8th International Conference on Computer and Communications (ICCC) pp. 2133 - 2138
Main Authors:	Yang, Jing, Cen, Shunyu, Zhang, Xiangyu, Luo, Honglin, Zhao, Taohong, Wei, Guangshu, Yu, Zukun, Li, Qinglang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 09.12.2022
Subjects:	Classification algorithms Complexity theory pressure sensor Real-time systems recognition algorithm Robot sensing systems Sensors Shape sharpness Skin tactile sensor target classification
Online Access:	Get full text
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