採餌ダイナミクスに着想を得たマルチエージェントの形状形成と追従
Multi-Agent Shape Formation and Tracking Inspired from a Social Foraging Dynamics
社会性採餌のダイナミクスを応用し、複数エージェントがランダムな初期配置から目標の幾何学パターンへほぼ均一密度で収束し、移動点の周囲を旋回しながら追従する手法を提案・解析した論文。
著者: Debdipta Goswami, Chiranjib Saha, Kunal Pal, Swagatam Das
分類: cs.NE, cs.RO
原文アブストラクト
Principle of Swarm Intelligence has recently found widespread application in formation control and automated tracking by the automated multi-agent system. This article proposes an elegant and effective method inspired by foraging dynamics to produce geometric-patterns by the search agents. Starting from a random initial orientation, it is investigated how the foraging dynamics can be modified to achieve convergence of the agents on the desired pattern with almost uniform density. Guided through the proposed dynamics, the agents can also track a moving point by continuously circulating around the point. An analytical treatment supported with computer simulation results is provided to better understand the convergence behaviour of the system.