Dynamic Q-planning for Online UAV Path Planning in Unknown and Complex Environments

Unmanned Aerial Vehicles need an online path planning capability to move in high-risk missions in unknown and complex environments to complete them safely. However, many algorithms reported in the literature may not return reliable trajectories to solve online problems in these scenarios. The Q-Lear...

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Veröffentlicht in:	arXiv.org 2024-02
Hauptverfasser:	Lidia Gianne Souza da Rocha, Kenny Anderson Queiroz Caldas, Terra, Marco Henrique, Ramos, Fabio, Kelen Cristiane Teixeira Vivaldini
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Machine learning Missions Particle swarm optimization Path planning Trajectory optimization Unmanned aerial vehicles
Online-Zugang:	Volltext
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