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Towards the Achievement of Path Planning with Multi-robot Systems in Dynamic Environments

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Abstract

Recent advances in technology lead to the use of robotic systems as part of the modern working environment. Single and multiple robotic systems work closely with humans to accomplish desired tasks, and the recent advancements have made the usage of multi-robot teams more appealing. One critical problem in utilizing the robot’s full potential is the Path planning problem and, while in the case of a single’s robot, path planning has been extensively investigated, in the case of Multiple Robotic Systems (MRS), especially in dynamic changing environments, there are significant open challenges. Based on the statement mentioned above, a detailed survey has been conducted to highlight these challenges and identify potential solutions. In addition, the beneficial use of MRS is presented, as opposed to single robotic systems through the literature, and already-achievable industry-related results are provided. It is concluded that the practical application of path planning in dynamic environments using MRS is still a field of research and development, requiring the community to engage more with practical applications.

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Authors and Affiliations

  1. Department of Computer Science, Intelligent Systems Laboratory, Neapolis University Pafos, Paphos, Cyprus

    G. Kyprianou & S. A. Chatzichristofis

  2. School of Production Engineering and Management, Technical University of Crete, Chania, Greece

    L. Doitsidis

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  1. G. Kyprianou
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  2. L. Doitsidis
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  3. S. A. Chatzichristofis
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Conceptualization, G.K., and S.A.C.; methodology, G.K.; validation, G.K., and L.D..; formal analysis, G.K.; investigation, ALL; writing—original draft preparation, G.K., and S.A.C.; writing—review and editing, ALL; visualization, G.K.; supervision, S.A.C., and L.D. All authors have read and agreed to the published version of the manuscript.

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Kyprianou, G., Doitsidis, L. & Chatzichristofis, S.A. Towards the Achievement of Path Planning with Multi-robot Systems in Dynamic Environments. J Intell Robot Syst 104, 15 (2022). https://doi.org/10.1007/s10846-021-01555-3

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