日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

群制御arXiv:2006.10253

異種速度の追跡者群による複数逃走者の捕獲のためのアポロニウス割り当てアルゴリズム

Apollonius Allocation Algorithm for Heterogeneous Pursuers to Capture Multiple Evaders

シェア:XThreadsFacebookLINEはてブBluesky

速度の異なる追跡者と逃走者の多対多追跡問題に対し、アポロニウス円に基づく動的な追跡者割り当てアルゴリズムを提案し、全逃走者の有限時間捕獲を保証した。

著者: Venkata Ramana Makkapati, Panagiotis Tsiotras

分類: math.OC, cs.RO, cs.SY, eess.SY

原文アブストラクト

In this paper, we address pursuit-evasion problems involving multiple pursuers and multiple evaders. The pursuer and the evader teams are assumed to be heterogeneous, in the sense that each team has agents with different speed capabilities. The pursuers are all assumed to be following a constant bearing strategy. A dynamic divide and conquer approach, where at every time instant each evader is assigned to a set of pursuers based on the instantaneous positions of all the players, is introduced to solve the multi-agent pursuit problem. In this regard, the corresponding multi-pursuer single-evader problem is analyzed first. Assuming that the evader can follow any strategy, a dynamic task allocation algorithm is proposed for the pursuers. The algorithm is based on the well-known Apollonius circle and allows the pursuers to allocate their resources in an intelligent manner while guaranteeing the capture of the evader in minimum time. The proposed algorithm is then extended to assign pursuers in multi-evader settings that is proven to capture all the evaders in finite time.

関連論文

  1. 1Boston Dynamics、車輪付きAtlasの研究試作機を紹介研究・技術
  2. 2GXOとApptronik、Apolloの物流現場試験を拡大 最大1,000台の展開を構想量産・展開
  3. 3newmoとKDDIが資本業務提携 2028年に堺市で自動運転タクシー商用化目指す提携・買収
  4. 4NVIDIA、CoRLでGR00T 2とIsaac Lab 3.0を発表新製品・発表
  5. 5UC BerkeleyとNVIDIAの研究者、AIエージェントでロボット制御コードを仮想環境で改善研究・技術

PR・アフィリエイト広告

MINISFORUM(ミニPC)

MINISFORUM(ミニPC)の公式広告バナーMINISFORUM公式ストアを見る ↗
PR本紙発行元 EmplifAI