障害物密集環境における移動ロボットのためのリアクティブ計画に基づく制御
Reactive Planning based Control for Mobile Robots in Obstacle-Cluttered Environments
部分的な環境情報しか持たない移動ロボットが、障害物を回避しながら目標位置へ移動するための、リアクティブ計画と適応追従制御を組み合わせた制御戦略を提案した論文。
詳しい要約
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著者: Li Tan, Junlin Xiong, Yan Wang, Wei Ren
分類: cs.RO
原文アブストラクト
This paper addresses the motion control problem for mobile robots in obstacle-cluttered environments. The mobile robot has partial environment information only, and aims to move from an initial position to a target position without collisions. For this purpose, a reactive planning based control strategy (RPCS) is proposed. First, the initial and target positions are connected as a reference trajectory. Then, a reactive planning strategy (RPS) is developed to ensure the collision avoidance by modifying the reference trajectory locally based on the partial environment information. Next, an adaptive tracking control strategy (ATCS) is proposed to track the reference trajectory with potentially local modifications via the discretization techniques. Finally, the RPS and ATCS are combined to establish the RPCS, whose efficacy and advantages are illustrated by numerical examples.
