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7 June 2024 Gravitational-inspired wayfinding for drone swarms: a conceptual path planning method
Samantha S. Carley, Stanton R. Price, Samantha J. Butler, Haley B. Honigfort
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Proceedings Volume 13055, Unmanned Systems Technology XXVI; 130550E (2024) https://doi.org/10.1117/12.3013947
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States
Abstract
The growing emergence of UAV swarms in industrial and security applications such as search-and-rescue and emergency response underlines a need for efficient and accurate aerial navigation in potentially cluttered and dynamic environments. However, the introduction of multiple drones presents a two-fold complexity within the collaboration space: 1) the agents must be able to perform some desired task(s) cooperatively or independently, and 2) the agents must avoid colliding into one another (or other obstacles) in the process. In this work, we investigate a conceptual method for path planning and teaming behaviors for UAV swarms. Specifically, we explore the conceptual implementation of a gravitational-inspired spatial organization and path planning method for autonomously controlling a UAV swarm in a simple wayfinding scenario. The method models drones and the environment itself with characteristics of orbital dynamics. Preliminary experiments are demonstrated, showing the potential applicability to individual drone navigation and obstacle avoidance, along with a proposed concept for swarming behaviors. Keywords: drones, teaming, swarm, wayfinding, autonomy
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(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Samantha S. Carley, Stanton R. Price, Samantha J. Butler, and Haley B. Honigfort "Gravitational-inspired wayfinding for drone swarms: a conceptual path planning method", Proc. SPIE 13055, Unmanned Systems Technology XXVI, 130550E (7 June 2024); https://doi.org/10.1117/12.3013947
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KEYWORDS
Atmospheric modeling
Evolutionary algorithms
Unmanned aerial vehicles
Orbital dynamics
Solar system
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