日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

週刊ニュースレター購読
arXiv:2409.10049

Nav-SCOPE: Swarm Robot Cooperative Perception and Coordinated Navigation

Nav-SCOPE: Swarm Robot Cooperative Perception and Coordinated Navigation

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著者: Chenxi Li, Weining Lu, Qingquan Lin, Litong Meng, Haolu Li, Bin Liang

分類: cs.RO

原文アブストラクト

This paper proposes a lightweight systematic solution for multi-robot coordinated navigation with decentralized cooperative perception. An information flow is first created to facilitate real-time observation sharing over unreliable ad-hoc networks. Then, the environmental uncertainties of each robot are reduced by interaction fields that deliver complementary information. Finally, path optimization is achieved, enabling self-organized coordination with effective convergence, divergence, and collision avoidance. Our method is fully interpretable and ready for deployment without gaps. Comprehensive simulations and real-world experiments demonstrate reduced path redundancy, robust performance across various tasks, and minimal demands on computation and communication.