リアルタイム計画から信頼性の高い実行へ：産業環境における異種マルチロボット群のスケーラブルな協調
From Real-Time Planning to Reliable Execution:Scalable Coordination for Heterogeneous Multi-Robot Fleets in Industrial Environments
産業環境で増加する異種ロボット群の効率的な協調のため、リアルタイム計画と堅牢な実行を両立する反応型オンライン協調フレームワークSCALEを提案し、動作起因の衝突低減機構と一般化CAPHによる優先関係の適応調整で、乱れの影響を軽減する。倉庫での3日間の実証を含む検証で有効性を示した。
著者: Bo Cao
分類: cs.RO, cs.MA
原文アブストラクト
With the increasing deployment of heterogeneous robot fleets in industrial environments, efficient coordination remains a critical challenge. Real-time path planning must simultaneously accommodate high robot densities and heterogeneous motion capabilities, while communication delays, execution uncertainties, and other disturbances may cause robots to deviate from the temporal assumptions underlying planned paths. Such deviations can lead to excessive waiting and congestion propagation across the fleet. This paper presents SCALE, a reactive online coordination framework that enables real-time planning while maintaining robust execution. Within this framework, we introduce a motion-induced conflict reduction mechanism to support the online generation of feasible paths for online conflict resolution. To mitigate the effects of disturbances, we further design a generalized Conjugate Action-Precedence Hypergraph (CAPH) that adaptively adjusts precedence relations among robots. Extensive validation experiments, together with a three-day deployment in a warehouse, demonstrate the