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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Main Authors: | Ali Hammoud, Alaa Iskandar, Béla Kovács |
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Format: | Article |
Language: | English |
Published: |
Russian Academy of Sciences, St. Petersburg Federal Research Center
2025-01-01
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Series: | Информатика и автоматизация |
Subjects: | |
Online Access: | https://ia.spcras.ru/index.php/sp/article/view/16312 |
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