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author:

Xu, Luwei (Xu, Luwei.) [1] | Yan, Wenduan (Yan, Wenduan.) [2] | Sun, Yifang (Sun, Yifang.) [3] | Kang, Quanjie (Kang, Quanjie.) [4] | Fu, Yue (Fu, Yue.) [5]

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EI Scopus

Abstract:

To meet the intricate demands of modern industries, multi-robot cooperative control systems offer broad applications, robust fault tolerance, and high efficiency. This research proposes trajectory compensation and digital twin technology as remedies for challenging collaborative planning, low real-time and accuracy, limited model accuracy, and inadequate planning of complicated tasks in dual-robot cooperative control. Trajectory compensation has the potential to increase task efficiency, boost environmental adaptability, and maximize cooperative performance; digital twin technology is essential for real-time monitoring and prediction, cooperative control strategy optimization, fault diagnosis and prevention, and maintenance cost savings. © 2024 IEEE.

Keyword:

Industrial robots Microrobots Multipurpose robots Nanorobots Robot applications Robot programming

Community:

  • [ 1 ] [Xu, Luwei]Institute of Advanced Manufacturing, Fuzhou University, Quanzhou; 362251, China
  • [ 2 ] [Xu, Luwei]Minnan University of Science and Technology, Quanzhou; 362700, China
  • [ 3 ] [Yan, Wenduan]Institute of Advanced Manufacturing, Fuzhou University, Quanzhou; 362251, China
  • [ 4 ] [Yan, Wenduan]Minnan University of Science and Technology, Quanzhou; 362700, China
  • [ 5 ] [Sun, Yifang]Minnan University of Science and Technology, Quanzhou; 362700, China
  • [ 6 ] [Kang, Quanjie]Minnan University of Science and Technology, Quanzhou; 362700, China
  • [ 7 ] [Fu, Yue]Northeastern University, National Key Laboratory of Integrated Automation for Process Industries, Shenyang; 110819, China

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Year: 2024

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 2

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