Dynamic Foraging in Swarm Robotics: A Hybrid Approach with Modular Design and Deep Reinforcement Learning Intelligence

This paper proposes a hybrid approach that combines intelligent algorithms and modular design to solve a foraging problem within the context of swarm robotics. Deep reinforcement learning (RL) and particle swarm optimization (PSO) are deployed in the proposed modular architecture. They are utilized...

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Autors principals:	Ali Hammoud, Alaa Iskandar, Béla Kovács
Format:	Artigo
Idioma:	Inglês
Publicat:	Russian Academy of Sciences, St. Petersburg Federal Research Center 2025-01-01
Col·lecció:	Информатика и автоматизация
Matèries:	swarm robotics foraging task modular design reinforcement learning particle swarm optimization
Accés en línia:	https://ia.spcras.ru/index.php/sp/article/view/16312
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