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author:

Xu, L. (Xu, L..) [1] | Yan, W. (Yan, W..) [2] | Sun, Y. (Sun, Y..) [3] | Kang, Q. (Kang, Q..) [4] | Fu, Y. (Fu, Y..) [5]

Indexed by:

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:

Cooperative control Digital twin Dual-robot Trajectory compensation

Community:

  • [ 1 ] [Xu L.]Institute of Advanced Manufacturing, Fuzhou University, Quanzhou, 362251, China
  • [ 2 ] [Xu L.]Minnan University of Science and Technology, Quanzhou, 362700, China
  • [ 3 ] [Yan W.]Institute of Advanced Manufacturing, Fuzhou University, Quanzhou, 362251, China
  • [ 4 ] [Yan W.]Minnan University of Science and Technology, Quanzhou, 362700, China
  • [ 5 ] [Sun Y.]Minnan University of Science and Technology, Quanzhou, 362700, China
  • [ 6 ] [Kang Q.]Minnan University of Science and Technology, Quanzhou, 362700, China
  • [ 7 ] [Fu Y.]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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Chinese Cited Count:

30 Days PV: 2

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