異種センサを搭載した混合サイズUAVチームによる協調屋内探査
Cooperative Indoor Exploration Leveraging a Mixed-Size UAV Team with Heterogeneous Sensors
異なるサイズとセンサを持つ複数のUAVが協力して未知の屋内空間を探査する手法を提案し、フロンティアベースの探査と2つのタスク割り当て戦略を組み合わせてシミュレーションと実機実験で検証した。
著者: Michaela Cihlářová, Václav Pritzl, Martin Saska
分類: cs.RO
原文アブストラクト
Heterogeneous teams of Unmanned Aerial Vehicles (UAVs) can enhance the exploration capabilities of aerial robots by exploiting different strengths and abilities of varying UAVs. This paper presents a novel method for exploring unknown indoor spaces with a team of UAVs of different sizes and sensory equipment. We propose a frontier-based exploration with two task allocation strategies: a greedy strategy that assigns Points of Interest (POIs) based on Euclidean distance and UAV priority and an optimization strategy that solves a minimum-cost flow problem. The proposed method utilizes the SphereMap algorithm to assess the accessibility of the POIs and generate paths that account for obstacle distances, including collision avoidance maneuvers among UAVs. The proposed approach was validated through simulation testing and real-world experiments that evaluated the method's performance on board the UAVs.
