Biomimetics, Volume 9, Issue 1
2024 January - 62 articles
Cover Story: Fish exhibit an innate capacity to effectively sense and respond to their dynamic environments, often through very simple mechanisms and with limited available information. Fish schools demonstrate collective behaviors that enable them to cooperatively accomplish tasks that surpass the abilities of a single individual. This study develops a novel approach to swarm robotic systems, inspired by the foraging behavior of fish schools, which integrates a bio-inspired neural network and a self-organizing map algorithm, enabling swarm robots to exhibit fish-like behaviors such as collision-free navigation and dynamic sub-group formation. This research represents a unique integration of neurodynamic models and swarm intelligence to enhance the autonomous capabilities of individual robots and the collective efficiency of the swarm. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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