Emergent Dynamic Formation through Optical Interactions in a Robot Swarm
Self‐organized formation is a key direction in swarm robotics. It is still challenging to design local interactions toward desired global formations and even more challenging for dynamic formations in a physical robot swarm system. Herein, a self‐organized method for emergent dynamic circling format...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-05-01
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| Series: | Advanced Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aisy.202400572 |
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| _version_ | 1850261470526308352 |
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| author | Xiaoyang Qin Yongliang Yang Yongtao Qiu Mengyun Pan Jing Hou Lianqing Liu |
| author_facet | Xiaoyang Qin Yongliang Yang Yongtao Qiu Mengyun Pan Jing Hou Lianqing Liu |
| author_sort | Xiaoyang Qin |
| collection | DOAJ |
| description | Self‐organized formation is a key direction in swarm robotics. It is still challenging to design local interactions toward desired global formations and even more challenging for dynamic formations in a physical robot swarm system. Herein, a self‐organized method for emergent dynamic circling formation in a robot swarm through optical interactions is proposed. First, this method is quantitatively modeled based on the geometrical relations among robots. This model is further adjusted according to the characteristics of the robot swarm system. To demonstrate the effectiveness of this model, the effects of three key parameters of this model are tested on the size and disorder level of the emergent dynamic circling formation. The experimental results are consistent with the model predictions. Overall, a robot swarm system, in the physical environment, is quantitatively controlled to emerge a dynamic circling formation in this article. This work advances the swarm robotics for quantitatively designing local interactions among robots to reliably emerge dynamic global patterns. |
| format | Article |
| id | doaj-art-8f75b2eeb5ae4b99bd456d25e1b8dbc3 |
| institution | OA Journals |
| issn | 2640-4567 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Intelligent Systems |
| spelling | doaj-art-8f75b2eeb5ae4b99bd456d25e1b8dbc32025-08-20T01:55:22ZengWileyAdvanced Intelligent Systems2640-45672025-05-0175n/an/a10.1002/aisy.202400572Emergent Dynamic Formation through Optical Interactions in a Robot SwarmXiaoyang Qin0Yongliang Yang1Yongtao Qiu2Mengyun Pan3Jing Hou4Lianqing Liu5State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 ChinaState Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 ChinaState Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 ChinaState Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 ChinaSchool of Electrical and Control Engineering Shenyang Jianzhu University Shenyang 110186 ChinaState Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 ChinaSelf‐organized formation is a key direction in swarm robotics. It is still challenging to design local interactions toward desired global formations and even more challenging for dynamic formations in a physical robot swarm system. Herein, a self‐organized method for emergent dynamic circling formation in a robot swarm through optical interactions is proposed. First, this method is quantitatively modeled based on the geometrical relations among robots. This model is further adjusted according to the characteristics of the robot swarm system. To demonstrate the effectiveness of this model, the effects of three key parameters of this model are tested on the size and disorder level of the emergent dynamic circling formation. The experimental results are consistent with the model predictions. Overall, a robot swarm system, in the physical environment, is quantitatively controlled to emerge a dynamic circling formation in this article. This work advances the swarm robotics for quantitatively designing local interactions among robots to reliably emerge dynamic global patterns.https://doi.org/10.1002/aisy.202400572dynamic formationmorphogenetic engineeringself‐organized systemswarm roboticssystem modeling |
| spellingShingle | Xiaoyang Qin Yongliang Yang Yongtao Qiu Mengyun Pan Jing Hou Lianqing Liu Emergent Dynamic Formation through Optical Interactions in a Robot Swarm Advanced Intelligent Systems dynamic formation morphogenetic engineering self‐organized system swarm robotics system modeling |
| title | Emergent Dynamic Formation through Optical Interactions in a Robot Swarm |
| title_full | Emergent Dynamic Formation through Optical Interactions in a Robot Swarm |
| title_fullStr | Emergent Dynamic Formation through Optical Interactions in a Robot Swarm |
| title_full_unstemmed | Emergent Dynamic Formation through Optical Interactions in a Robot Swarm |
| title_short | Emergent Dynamic Formation through Optical Interactions in a Robot Swarm |
| title_sort | emergent dynamic formation through optical interactions in a robot swarm |
| topic | dynamic formation morphogenetic engineering self‐organized system swarm robotics system modeling |
| url | https://doi.org/10.1002/aisy.202400572 |
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