Swarm navigation of cyborg-insects in unknown obstructed soft terrain
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arXiv
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909437172645888 |
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| author | Bai, Yang Ngoc, Phuoc Thanh Tran Nguyen, Huu Duoc Le, Duc Long Ha, Quang Huy Kai, Kazuki To, Yu Xiang See Deng, Yaosheng Song, Jie Wakamiya, Naoki Sato, Hirotaka Ogura, Masaki |
| author_facet | Bai, Yang Ngoc, Phuoc Thanh Tran Nguyen, Huu Duoc Le, Duc Long Ha, Quang Huy Kai, Kazuki To, Yu Xiang See Deng, Yaosheng Song, Jie Wakamiya, Naoki Sato, Hirotaka Ogura, Masaki |
| contents | Cyborg insects refer to hybrid robots that integrate living insects with miniature electronic controllers to enable robotic-like programmable control. These creatures exhibit advantages over conventional robots in adaption to complex terrain and sustained energy efficiency. Nevertheless, there is a lack of literature on the control of multi-cyborg systems. This research gap is due to the difficulty in coordinating the movements of a cyborg system under the presence of insects' inherent individual variability in their reactions to control input. Regarding this issue, we propose a swarm navigation algorithm and verify it under experiments. This research advances swarm robotics by integrating biological organisms with control theory to develop intelligent autonomous systems for real-world applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_17392 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Swarm navigation of cyborg-insects in unknown obstructed soft terrain Bai, Yang Ngoc, Phuoc Thanh Tran Nguyen, Huu Duoc Le, Duc Long Ha, Quang Huy Kai, Kazuki To, Yu Xiang See Deng, Yaosheng Song, Jie Wakamiya, Naoki Sato, Hirotaka Ogura, Masaki Robotics Systems and Control Adaptation and Self-Organizing Systems Cyborg insects refer to hybrid robots that integrate living insects with miniature electronic controllers to enable robotic-like programmable control. These creatures exhibit advantages over conventional robots in adaption to complex terrain and sustained energy efficiency. Nevertheless, there is a lack of literature on the control of multi-cyborg systems. This research gap is due to the difficulty in coordinating the movements of a cyborg system under the presence of insects' inherent individual variability in their reactions to control input. Regarding this issue, we propose a swarm navigation algorithm and verify it under experiments. This research advances swarm robotics by integrating biological organisms with control theory to develop intelligent autonomous systems for real-world applications. |
| title | Swarm navigation of cyborg-insects in unknown obstructed soft terrain |
| topic | Robotics Systems and Control Adaptation and Self-Organizing Systems |
| url | https://arxiv.org/abs/2403.17392 |