Multi-Sensor Based Autonomous Planning for Robotic Manufacturing Systems

Wei Der Chung; Woon Ki Na; Shih Chieh  Shie; Hsin Pei Chen; Xiao Hu

doi:10.4028/www.scientific.net/AMR.791-793.826

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 791-793Multi-Sensor Based Autonomous Planning for Robotic...

Multi-Sensor Based Autonomous Planning for Robotic Manufacturing Systems

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 791-793)

Pages:

826-830

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.791-793.826

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Online since:

September 2013

Authors:

Wei Der Chung, Woon Ki Na, Shih Chieh Shie, Hsin Pei Chen, Xiao Hu

Keywords:

Artificial Intelligent, Embedded Force Sensing, Multi-Sensor

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