最適輸送を用いたマルチエージェント形状制御
Multi-Agent Shape Control with Optimal Transport
最適輸送のEarth Mover's Distanceを活用し、エージェント群に形状・編隊・密度の制約を課しながら最適に制御する手法MASCOTを提案した論文。
著者: Alex Tong Lin, Stanley J. Osher
分類: cs.MA, cs.CG, cs.RO, cs.SY, eess.SY, math.OC
原文アブストラクト
We introduce a method called MASCOT (Multi-Agent Shape Control with Optimal Transport) to compute optimal control solutions of agents with shape/formation/density constraints. For example, we might want to apply shape constraints on the agents -- perhaps we desire the agents to hold a particular shape along the path, or we want agents to spread out in order to minimize collisions. We might also want a proportion of agents to move to one destination, while the other agents move to another, and to do this in the optimal way, i.e. the source-destination assignments should be optimal. In order to achieve this, we utilize the Earth Mover's Distance from Optimal Transport to distribute the agents into their proper positions so that certain shapes can be satisfied. This cost is both introduced in the terminal cost and in the running cost of the optimal control problem.