Unification of Consensus-Based Multi-Objective Optimization and Multi-Robot Path Planning

Michael P. Wozniak
4/13/2025
cs.MA

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Abstract

Multi-agent systems seeking consensus may also have other objective functions to optimize, requiring the research of multi-objective optimization in consensus. Several recent publications have explored this domain using various methods such as weighted-sum optimization and penalization methods. This paper reviews the state of the art for consensus-based multi-objective optimization, poses a multi-agent lunar rover exploration problem seeking consensus and maximization of explored area, and achieves optimal edge weights and steering angles by applying SQP algorithms.

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Cite this paper

@article{wozniak2025unification,
  title  = {Unification of Consensus-Based Multi-Objective Optimization and Multi-Robot Path Planning},
  author = {Michael P. Wozniak},
  year   = {2025},
  eprint = {2504.09577},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2504.09577v1}
}

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