Multi-sensor Based Autonomous Planning for Robotic Manufacturing Systems
Current trends in precision machinery include increased adaptability,speed and reliability.This,combined with the development of artificially-intelligent automatic sensors can lead to the establishment of highly-reliable and systematic manufacturing systems.During the automation process,equipment process parameters frequently need to be adjusted to match the requirements of different processes.Thus how to best maintain normal equipment operation and stable quality through these frequent adjustments is a key issue for manufacturers.Therefore,high-quality automated production systems allowing for fast-changeover and real-time automatic detection and performance monitoring are effectively needed.
Embedded force sensing Multi-sensor Artificial intelligent
WeiDer Chung Woonki Na Shih-Chieh Shie Hsin-Pei Chen Xiao Hue
Mechanical and System Research Laboratory/Industrial Technology Research Institute, Hsinchu,Taiwan Department of Electrical and Computer Engineering, Bradley Unsiversity, Peoria, Illinois 61625 Department of Computer Science & Information Engineering, National Formosa University,Yunlin County, Department of Mechanical Engineering, Tungnan University, New Taipei City, Taiwan
国际会议
三亚
英文
524-528
2013-06-22(万方平台首次上网日期,不代表论文的发表时间)