机械制造与自动化2025，Vol.54Issue(2)：238-242,247,6.DOI:10.19344/j.cnki.issn1671-5276.2025.02.046
制造过程中协作机器人意图理解研究
Research on Intent Understanding of Collaborative Robots in Manufacturing Process
摘要
Abstract
As a new generation robots co-working with humans,it is most important for collaborative robots to accurately understand the operator's intentions and respond accordingly.The existing collaborative robot intention prediction,similar to traditional robots in recognizing the operator's language and actions for intention recognition,fails to exploit the advantages of collaborative robots,i.e.having closer contact with humans.This study based on language and action,adds touching to make collaborative robots perceive the operator's intention,designes a multi-layer feedforward neural network,and trains it by LM and GA algorithms obtaining the optimal parameter solution.Comparative experiments and intention prediction experiments are conducted after training completion.The experimental results show that the training mean square error ultimately reaches 0.098 6,and the prediction accuracy is 92.3%,which has better predictive performance compared to other neural networks.关键词
协作机器人/人机协作/意图理解/神经网络Key words
collaborative robot/human-robot cooperation/intentional understanding/neural network分类
信息技术与安全科学引用本文复制引用
薛锦辉,苗鸿宾,贾程翔,张灿..制造过程中协作机器人意图理解研究[J].机械制造与自动化,2025,54(2):238-242,247,6.基金项目
中北大学研究生科技立项项目(20231912) （20231912）
