視野制約を考慮した分散型リーダー・フォロワー安全制御
Distributed Perception Aware Safe Leader Follower System via Control Barrier Methods
各エージェントが限られた視野のカメラでリーダーを捉え続けられるよう、視野制約を制御バリア関数で扱う分散型リーダー・フォロワー制御を提案し、画像から状態を推定するニューラルネット推定器も開発した。
著者: Richie R. Suganda, Tony Tran, Miao Pan, Lei Fan, Qin Lin, Bin Hu
分類: eess.SY, cs.RO, cs.SY
原文アブストラクト
This paper addresses a distributed leader-follower formation control problem for a group of agents, each using a body-fixed camera with a limited field of view (FOV) for state estimation. The main challenge arises from the need to coordinate the agents' movements with their cameras' FOV to maintain visibility of the leader for accurate and reliable state estimation. To address this challenge, we propose a novel perception-aware distributed leader-follower safe control scheme that incorporates FOV limits as state constraints. A Control Barrier Function (CBF) based quadratic program is employed to ensure the forward invariance of a safety set defined by these constraints. Furthermore, new neural network based and double bounding boxes based estimators, combined with temporal filters, are developed to estimate system states directly from real-time image data, providing consistent performance across various environments. Comparison results in the Gazebo simulator demonstrate the effectiveness and robustness of the proposed framework in two distinct environments.
