Intelligent Fish-Inspired Foraging of Swarm Robots with Sub-Group Behaviors Based on Neurodynamic Models

J Li, SX Yang - Biomimetics, 2024 - mdpi.com
This paper proposes a novel intelligent approach to swarm robotics, drawing inspiration
from the collective foraging behavior exhibited by fish schools. A bio-inspired neural network …

Investigating the impact of initial parameters on autonomous robot swarm movement strategies for enhanced exploration efficiency: a comprehensive study

K Karadağ, Ö Tamer - Bioinspiration & Biomimetics, 2024 - iopscience.iop.org
Swarm robots are frequently preferred for the exploration of harsh environments and search
and rescue operations. This study explores the factors that influence the movement …

A Novel Fish-inspired Self-adaptive Approach to Collective Escape of Swarm Robots Based on Neurodynamic Models

J Li, SX Yang - … IEEE International Conference on Robotics and …, 2024 - ieeexplore.ieee.org
Fish schools present high-efficiency group behaviors to collective migration and dynamic
escape from the predator through simple individual interactions. The purpose of this …

A Novel Weight-based Fish School Search Approach for Hierarchical Network Clustering

AH Ibrahim, MA BOUDREF, L BADIS - 2023 - researchsquare.com
Networks consist of interconnected nodes and edges that depict entities and their
relationships. In social network clustering, nodes are grouped into clusters based on their …

[引用][C] A Novel Weight-based Fish School Search Approach for Hierarchical Network Clustering

A Hussein Ibrahim… - … Journal of Computing …, 2024 - University of Bahrain