日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

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群制御arXiv:2604.15516

「疎らであることは接続されるよりはるかに安全」:状態制約付きPDE最適化によるロボット群密度ダイナミクスの安全制御

''It Is Much Safer to Be Sparse than Connected'': Safe Control of Robotic Swarm Density Dynamics with PDE-Optimization with State Constraints

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Fokker-Planck方程式に従うロボット群の空間密度を目標分布へ導く、閉ループの安全制御戦略を提案。Voronoi分割による分散展開も可能で、理論的な安全性保証と実機実験で有効性を示した。

著者: Longchen Niu, Gennaro Notomista

分類: eess.SY

原文アブストラクト

This paper introduces a safety-critical optimization-based control strategy that leverages control Lyapunov and control barrier functions to guide the spatial density of robotic swarms governed by the Fokker-Planck equation to a predefined target distribution. In contrast to traditional open-loop state-constrained optimal control strategies, the proposed approach operates in closed-loop, and a Voronoi-based variant further enables distributed deployments. Theoretical guarantees of safety are derived, and numerical simulations demonstrate the performance of the proposed controllers. Finally, a multi-robot experiment showcases the real-world applicability of the proposed controllers under localization and motion noises, illustrating how it is much easier for a sparse swarm to satisfy safety specifications than it is for a densely packed one.

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