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Multirobot systems: a classification focused on coordination.

Alessandro Farinelli1, Luca Iocchi, Daniele Nardi

  • 1Department of Information Systems, University of Rome La Sapienza, 113 00198, Roma, Italy. farinelli@dis.uniroma1.it

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|October 27, 2004
PubMed
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This survey examines cooperation and coordination in multirobot systems (MRS). We propose a new taxonomy to classify MRS coordination approaches and identify future research trends.

Area of Science:

  • Robotics and Artificial Intelligence

Background:

  • Multirobot systems (MRS) are increasingly complex.
  • Cooperation and coordination are fundamental features for MRS.
  • Recent advancements in MRS necessitate a structured overview.

Purpose of the Study:

  • To survey recent work in multirobot systems (MRS).
  • To examine forms of cooperation and coordination in MRS.
  • To propose a novel taxonomy for classifying MRS coordination approaches.

Main Methods:

  • Literature review of recent multirobot systems research.
  • Analysis of cooperation and coordination strategies.
  • Development of a new classification taxonomy for MRS coordination.

Main Results:

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  • Identification of diverse cooperation and coordination forms in MRS.
  • Proposal of a new taxonomy categorizing MRS coordination methods.
  • Description of representative systems within the proposed taxonomy.

    • Conclusions:

    • The proposed taxonomy provides a structured framework for understanding MRS coordination.
    • Analysis highlights key trends and future directions in multirobot systems research.
    • Cooperation and coordination remain critical areas for advancing MRS capabilities.