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author:

Wu, Lingxin (Wu, Lingxin.) [1] | Luo, Haibo (Luo, Haibo.) [2]

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EI

Abstract:

The issues of limited communication distance and task capability are rarely discussed in designing multi-robot cooperative methods. However, these are important problems that cannot be avoided in practical applications. In this paper, simulation experiments are carried out on some task maps that are larger than the team's task ability. The effect of the dispersion of members on the team's task performance is tested, and the existing methods are improved by introducing long-range communication to auxiliary data sharing. At the same time, we use the calculation of Energy-Benefit to improve the task selection method based on the minimum distance to the target. Compared with existing strategies, the improved scheme performs better on communication-constrained large-map exploration tasks. © 2022 IEEE.

Keyword:

Cooperative communication Industrial robots Multipurpose robots Robot learning

Community:

  • [ 1 ] [Wu, Lingxin]College of Computer and Data Science, College of Software, FuZhou University, Fuzhou, China
  • [ 2 ] [Luo, Haibo]College of Computer and Control Engineering, Minjiang University, Fuzhou, China

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Year: 2022

Page: 1083-1088

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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