SWARM
Pareto optimal multi-robot motion planning
Guoxiang Zhao, Minghui Zhu
- Year
- 2018
- Citations
- 10
Abstract
This paper studies a class of multi-robot coordination problems where a team of robots aim to reach their goal regions with minimum time and avoid collisions with obstacles and other robots. A novel numerical algorithm is proposed to identify the Pareto optimal solutions where no robot can unilaterally reduce its traveling time without extending others'. The consistent approximation of the algorithm in the epigraphical profile sense is guaranteed using set-valued numerical analysis. Simulations show the anytime property and increasing optimality of the proposed algorithm.
Keywords
RobotPareto optimalMathematical optimizationClass (philosophy)Pareto principleMotion planningComputer scienceSet (abstract data type)Property (philosophy)Robot kinematics
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