外乱下での自律水上艇制御と環境モニタリングへの応用
Dynamic Autonomous Surface Vehicle Control and Applications in Environmental Monitoring
風や海流などの外乱を計測・モデル化し、ウェイポイント生成から制御チューニングまでを統合した水上艇の測量フレームワークを提案した論文。
著者: Nare Karapetyan, Jason Moulton, Ioannis Rekleitis
分類: cs.RO, cs.AI
原文アブストラクト
This paper addresses the problem of robotic operations in the presence of adversarial forces. We presents a complete framework for survey operations: waypoint generation,modelling of forces and tuning the control. In many applications of environmental monitoring, search and exploration, and bathymetric mapping, the vehicle has to traverse in straight lines parallel to each other, ensuring there are no gaps and no redundant coverage. During operations with an Autonomous Surface Vehicle (ASV) however, the presence of wind and/or currents produces external forces acting on the vehicle which quite often divert it from its intended path. Similar issues have been encountered during aerial or underwater operations. By measuring these phenomena, wind and current, and modelling their impact on the vessel, actions can be taken to alleviate their effect and ensure the correct trajectory is followed.
関連論文
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