Design and implementation of pollution monitoring system in waterway area based on bionic robotic fish

Luo, Jianan; Qian, Zhaoyan; Gui, Li-Jiang; Zhang, Mingrui; Geng, Xiongfei

doi:10.1117/12.2653121

Cited by 1 publication

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“…For instance, fish-inspired systems can be used in deep-sea exploration in extreme pressure environments [16]. In addition, fish-inspired systems can finish emergency search and rescue missions to guarantee the safety of human life [17]. Moreover, fish-inspired systems can also achieve cooperative transportation in underwater environments [18].…”

Section: Introductionmentioning

confidence: 99%

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

Li,

Yang

2024

Biomimetics

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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 (BINN) and a self-organizing map (SOM) algorithm are used to enable the swarm to emulate fish-like behaviors such as collision-free navigation and dynamic sub-group formation. The swarm robots are designed to adaptively reconfigure their movements in response to environmental changes, mimicking the flexibility and robustness of fish foraging patterns. The simulation results show that the proposed approach demonstrates improved cooperation, efficiency, and adaptability in various scenarios. The proposed approach shows significant strides in the field of swarm robotics by successfully implementing fish-inspired foraging strategies. The integration of neurodynamic models with swarm intelligence not only enhances the autonomous capabilities of individual robots, but also improves the collective efficiency of the swarm robots.

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Section: Introductionmentioning

confidence: 99%