Intelligent Fish-Inspired Foraging of Swarm Robots with Sub-Group Behaviors Based on Neurodynamic Models
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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Biomimetics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-7673/9/1/16 |
| _version_ | 1827372691949092864 |
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| author | Junfei Li Simon X. Yang |
| author_facet | Junfei Li Simon X. Yang |
| author_sort | Junfei Li |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T11:04:43Z |
| format | Article |
| id | doaj.art-bebe2e1946994bc49436ce6a3f0b6d45 |
| institution | Directory Open Access Journal |
| issn | 2313-7673 |
| language | English |
| last_indexed | 2024-03-08T11:04:43Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biomimetics |
| spelling | doaj.art-bebe2e1946994bc49436ce6a3f0b6d452024-01-26T15:15:32ZengMDPI AGBiomimetics2313-76732024-01-01911610.3390/biomimetics9010016Intelligent Fish-Inspired Foraging of Swarm Robots with Sub-Group Behaviors Based on Neurodynamic ModelsJunfei Li0Simon X. Yang1School of Engineering, University of Guelph, 50 Stone Road East, Guelph, ON N1G2W1, CanadaSchool of Engineering, University of Guelph, 50 Stone Road East, Guelph, ON N1G2W1, CanadaThis 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.https://www.mdpi.com/2313-7673/9/1/16swarm robotsbio-inspired algorithmsforaging behaviorsfish-inspired algorithmneurodynamic models |
| spellingShingle | Junfei Li Simon X. Yang Intelligent Fish-Inspired Foraging of Swarm Robots with Sub-Group Behaviors Based on Neurodynamic Models Biomimetics swarm robots bio-inspired algorithms foraging behaviors fish-inspired algorithm neurodynamic models |
| title | Intelligent Fish-Inspired Foraging of Swarm Robots with Sub-Group Behaviors Based on Neurodynamic Models |
| title_full | Intelligent Fish-Inspired Foraging of Swarm Robots with Sub-Group Behaviors Based on Neurodynamic Models |
| title_fullStr | Intelligent Fish-Inspired Foraging of Swarm Robots with Sub-Group Behaviors Based on Neurodynamic Models |
| title_full_unstemmed | Intelligent Fish-Inspired Foraging of Swarm Robots with Sub-Group Behaviors Based on Neurodynamic Models |
| title_short | Intelligent Fish-Inspired Foraging of Swarm Robots with Sub-Group Behaviors Based on Neurodynamic Models |
| title_sort | intelligent fish inspired foraging of swarm robots with sub group behaviors based on neurodynamic models |
| topic | swarm robots bio-inspired algorithms foraging behaviors fish-inspired algorithm neurodynamic models |
| url | https://www.mdpi.com/2313-7673/9/1/16 |
| work_keys_str_mv | AT junfeili intelligentfishinspiredforagingofswarmrobotswithsubgroupbehaviorsbasedonneurodynamicmodels AT simonxyang intelligentfishinspiredforagingofswarmrobotswithsubgroupbehaviorsbasedonneurodynamicmodels |