1 School of Ophthalmology and Optometry, Eye Hospital, School of Biomedical Engineering, Wenzhou Medical University, Wenzhou 325035, China; 2 Postgraduate Training Base Alliance, Wenzhou Medical University, Wenzhou 325035, China; 3 Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325011, China; 4 School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Abstract How to control the dynamic behavior of large-scale artificial active matter is a critical concern in experimental research on soft matter, particularly regarding the emergence of collective behaviors and the formation of group patterns. Centralized systems excel in precise control over individual behavior within a group, ensuring high accuracy and controllability in task execution. Nevertheless, their sensitivity to group size may limit their adaptability to diverse tasks. In contrast, decentralized systems empower individuals with autonomous decision-making, enhancing adaptability and system robustness. Yet, this flexibility comes at the cost of reduced accuracy and efficiency in task execution. In this work, we present a unique method for regulating the centralized dynamic behavior of self-organizing clusters based on environmental interactions. Within this environment-coupled robot system, each robot possesses similar dynamic characteristics, and their internal programs are entirely identical. However, their behaviors can be guided by the centralized control of the environment, facilitating the accomplishment of diverse cluster tasks. This approach aims to balance the accuracy and flexibility of centralized control with the robustness and task adaptability of decentralized control. The proactive regulation of dynamic behavioral characteristics in active matter groups, demonstrated in this work through environmental interactions, holds the potential to introduce a novel technological approach and provide experimental references for studying the dynamic behavior control of large-scale artificial active matter systems.
Received: 06 February 2024
Revised: 13 March 2024
Accepted manuscript online:
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 12174041), China Postdoctoral Science Foundation (CPSF) (Grant No. 2022M723118), and the seed grants from the Wenzhou Institute, University of Chinese Academy of Sciences (Grant No. WIUCASQD2021002).
Corresponding Authors:
Gao Wang, Fangfu Ye
E-mail: wanggao@ucas.ac.cn;ye@iphy.ac.cn
Cite this article:
Daming Yuan(袁大明), Peilong Wang(王培龙), Peng Wang(王鹏), Xingyu Ma(马星宇), Chuyun Wang(汪楚云), Jing Wang(王璟), Huaicheng Chen(陈怀城), Gao Wang(王高), and Fangfu Ye(叶方富) Controlling the dynamic behavior of decentralized cluster through centralized approaches 2024 Chin. Phys. B 33 060702
[1] Nagel S R 2017 Rev. Mod. Phys. 89 025002 [2] Bechinger C, Di Leonardo R, Löwen H, Reichhardt C, Volpe G and Volpe G 2016 Rev. Mod. Phys. 88 045006 [3] Marchetti M C, Joanny J F, Ramaswamy S, Liverpool T B, Prost J, Rao M and Simha R A 2013 Rev. Mod. Phys. 85 1143 [4] Narayan V, Ramaswamy S and Menon N 2007 Science 317 105 [5] Kudrolli A, Lumay G, Volfson D and Tsimring L S 2008 Phys. Rev. Lett. 100 058001 [6] Aranson I S and Tsimring L S 2006 Phys. Rev. E 74 031915 [7] Wu C, Dai J, Li X, Gao L, Wang J, Liu J, Zheng J, Zhan X, Chen J, Cheng X, Yang M and Tang J 2021 Nat. Nanotechnol. 16 288 [8] Jiang H-R, Yoshinaga N and Sano M 2010 Phys. Rev. Lett. 105 268302 [9] Xie H, Sun M, Fan X, Lin Z, Chen W, Wang L, Dong L and He Q 2019 Sci. Robot. 4 eaav8006 [10] Lavergne F A, Wendehenne H, Bäuerle T and Bechinger C 2019 Science 364 70 [11] Dai Q and Nelson A 2010 Chem. Soc. Rev. 39 4057 [12] Van Blaaderen A, Dijkstra M, Van Roij R, Imhof A, Kamp M, Kwaadgras B W, Vissers T and Liu B 2013 Eur. Phys. J. Spec. Top. 222 2895 [13] Bredeche N, Haasdijk E and Prieto A 2018 Front. Robot. AI 5 12 [14] Wang G, Phan T V, Li S, Wombacher M, Qu J, Peng Y, Chen G, Goldman D I, Levin S A, Austin R H and Liu L 2021 Phys. Rev. Lett. 126 108002 [15] Wang G, Phan T V, Li S, Wang J, Peng Y, Chen G, Qu J, Goldman D I, Levin S A, Pienta K, Amend S, Austin R H and Liu L 2022 Proc. Natl. Acad. Sci. USA 119 e2120019119 [16] Sun G, Zhou R, Ma Z, Li Y, Groß R, Chen Z and Zhao S 2023 Nat. Commun. 14 3476 [17] Liu Y, Wang L, Huang H, Liu M and Xu C 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 2669-2674 [18] Saska M, Kasl Z and Přeucil L 2014 IFAC Proc. Vol. 47 1228 [19] Ducatelle F, Di Caro G A, Förster A, Bonani M, Dorigo M, Magnenat S, Mondada F, O’Grady R, Pinciroli C, Rétornaz P, Trianni V and Gambardella L M 2014 Swarm Intell. 8 1 [20] Hu J, Niu H, Carrasco J, Lennox B and Arvin F 2020 IEEE Trans. Veh. Technol. 69 14413 [21] Dorigo M, Theraulaz G and Trianni V 2021 Proc. IEEE 109 1152 [22] Tan Y and Zheng Z 2013 Def. Technol. 9 18 [23] Şahin E 2005 Swarm Robotics (Lecture Notes in Computer Science) Vol. 3342, pp. 10-20 [24] Lerman K, Martinoli A and Galstyan A 2005 Swarm Robotics (Lecture Notes in Computer Science) Vol. 3342, pp. 143-52 [25] Brambilla M, Ferrante E, Birattari M and Dorigo M 2013 Swarm Intell. 7 1 [26] Berlinger F, Gauci M and Nagpal R 2021 Sci. Robot. 6 eabd8668 [27] Vicsek T and Zafeiris A 2012 Phys. Rep. 517 71 [28] Rubenstein M, Cornejo A and Nagpal R 2014 Science 345 795 [29] Li S, Batra R, Brown D, Chang H D, Ranganathan N, Hoberman C, Rus D and Lipson H 2019 Nature 567 361 [30] Scholz C, Engel M and Pöschel T 2018 Nat. Commun. 9 931 [31] Mathews N, Christensen A L, O’Grady R, Mondada F and Dorigo M 2017 Nat. Commun. 8 439 [32] Krieger M J B and Billeter J B 2000 Robot. Auton. Syst. 30 65 [33] Garattoni L and Birattari M 2018 Sci. Robot. 3 eaat0430
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
