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A centralized multi-AGV motion planning method is proposed. In contrast to the prevalent planners with decentralized (decoupled) formulations, a centralized planner contains no priority assignment, decoupling, or other specification strategies, thus is free from being case-dependent and deadlock-involved. Although centralized motion planning is computationally expensive, it deserves investigations...
A fault-tolerant cooperative control (FTCC) strategy for cooperative unmanned aerial vehicles (UAVs) used in forest monitoring, fire detection and tracking is investigated in this paper. The proposed algorithm solves the problem of monitoring and detection of forest fires, even when fault occurs to one or more UAVs. During the search stage, the UAVs team moves in a certain formation shape, a distributed...
This paper proposes to use multiple cooperative unmanned aerial vehicles (UAVs) for forest monitoring, fire detection and tracking of its propagation. The proposed algorithm solves the problems of forest fire by including three stages of search, confirmation and observation. During the search stage, the UAVs team moves in a certain formation shape in a leader-follower approach, a distributed sliding...
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