RACER: Rapid Collaborative Exploration With a Decentralized Multi-UAV System
نویسندگان
چکیده
Although the use of multiple unmanned aerial vehicles (UAVs) has great potential for fast autonomous exploration, it received far too little attention. In this article, we present a RApid Collaborative ExploRation (RACER) approach using fleet decentralized UAVs. To effectively dispatch UAVs, pairwise interaction based on an online hgrid space decomposition is used. It ensures that all UAVs simultaneously explore distinct regions, only asynchronous and limited communication. Furthermore, optimize coverage paths unknown balance workloads partitioned to each UAV with capacitated vehicle routing problem formulation. Given task allocation, constantly updates path incrementally extracts crucial information support exploration planning. A hierarchical planner finds paths, refines local viewpoints, generates minimum-time trajectories in sequence agilely safely. The proposed evaluated extensively, showing high efficiency, scalability, robustness first time, achieve fully collaborative real world. We will release our implementation as open-source package.
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ژورنال
عنوان ژورنال: IEEE Transactions on Robotics
سال: 2023
ISSN: ['1552-3098', '1941-0468', '1546-1904']
DOI: https://doi.org/10.1109/tro.2023.3236945