中国物理B ›› 2024, Vol. 33 ›› Issue (7): 78701-078701.doi: 10.1088/1674-1056/ad4327

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Disorder-to-order transition induced by spontaneous cooling regulation in robotic active matter

Shuaixu Hou(侯帅旭)1,†, Gao Wang(王高)2,3,†, Xingyu Ma(马星宇)4, Chuyun Wang(汪楚云)5, Peng Wang(王鹏)5, Huaicheng Chen(陈怀城)2, Liyu Liu(刘雳宇)1,‡, and Jing Wang(王璟)2,§   

  1. 1 Chongqing Key Laboratory of Soft Condensed Matter Physics and Smart Materials, College of Physics, Chongqing University, Chongqing 401331, China;
    2 Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325011, China;
    3 School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China;
    4 School of Ophthalmology and Optometry, Eye Hospital, School of Biomedical Engineering, Wenzhou Medical University, Wenzhou 325035, China;
    5 Postgraduate Training Base Alliance, Wenzhou Medical University, Wenzhou 325035, China
  • 收稿日期:2024-03-01 修回日期:2024-04-09 接受日期:2024-04-25 出版日期:2024-06-18 发布日期:2024-06-20
  • 通讯作者: Liyu Liu, Jing Wang E-mail:lyliu@cqu.edu.cn;wangjing@ucas.ac.cn
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant No. 12174041), China Postdoctoral Science Foundation (Grant No. 2022M723118), and the Seed Grants from the Wenzhou Institute, University of Chinese Academy of Sciences (Grant No. WIUCASQD2021002).

Disorder-to-order transition induced by spontaneous cooling regulation in robotic active matter

Shuaixu Hou(侯帅旭)1,†, Gao Wang(王高)2,3,†, Xingyu Ma(马星宇)4, Chuyun Wang(汪楚云)5, Peng Wang(王鹏)5, Huaicheng Chen(陈怀城)2, Liyu Liu(刘雳宇)1,‡, and Jing Wang(王璟)2,§   

  1. 1 Chongqing Key Laboratory of Soft Condensed Matter Physics and Smart Materials, College of Physics, Chongqing University, Chongqing 401331, China;
    2 Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325011, China;
    3 School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China;
    4 School of Ophthalmology and Optometry, Eye Hospital, School of Biomedical Engineering, Wenzhou Medical University, Wenzhou 325035, China;
    5 Postgraduate Training Base Alliance, Wenzhou Medical University, Wenzhou 325035, China
  • Received:2024-03-01 Revised:2024-04-09 Accepted:2024-04-25 Online:2024-06-18 Published:2024-06-20
  • Contact: Liyu Liu, Jing Wang E-mail:lyliu@cqu.edu.cn;wangjing@ucas.ac.cn
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant No. 12174041), China Postdoctoral Science Foundation (Grant No. 2022M723118), and the Seed Grants from the Wenzhou Institute, University of Chinese Academy of Sciences (Grant No. WIUCASQD2021002).

摘要: In classical matter systems, typical phase-transition phenomena usually stem from changes in state variables, such as temperature and pressure, induced by external regulations such as heat transfer and volume adjustment. However, in active matter systems, the self-propulsion nature of active particles endows the systems with the ability to induce unique collective-state transitions by spontaneously regulating individual properties to alter the overall states. Based on an innovative robot-swarm experimental system, we demonstrate a field-driven active matter model capable of modulating individual motion behaviors through interaction with a recoverable environmental resource field by the resource perception and consumption. In the simulated model, by gradually reducing the individual resource-conversion coefficient over time, this robotic active matter can spontaneously decrease the overall level of motion, thereby actively achieving a regulation behavior like the cooling-down control. Through simulation calculations, we discover that the spatial structures of this robotic active matter convert from disorder to order during this process, with the resulting ordered structures exhibiting a high self-adaptability on the geometry of the environmental boundaries.

关键词: active matter, robot swarm, collective-state transitions, environmental self-adaptability

Abstract: In classical matter systems, typical phase-transition phenomena usually stem from changes in state variables, such as temperature and pressure, induced by external regulations such as heat transfer and volume adjustment. However, in active matter systems, the self-propulsion nature of active particles endows the systems with the ability to induce unique collective-state transitions by spontaneously regulating individual properties to alter the overall states. Based on an innovative robot-swarm experimental system, we demonstrate a field-driven active matter model capable of modulating individual motion behaviors through interaction with a recoverable environmental resource field by the resource perception and consumption. In the simulated model, by gradually reducing the individual resource-conversion coefficient over time, this robotic active matter can spontaneously decrease the overall level of motion, thereby actively achieving a regulation behavior like the cooling-down control. Through simulation calculations, we discover that the spatial structures of this robotic active matter convert from disorder to order during this process, with the resulting ordered structures exhibiting a high self-adaptability on the geometry of the environmental boundaries.

Key words: active matter, robot swarm, collective-state transitions, environmental self-adaptability

中图分类号:  (Phase transitions)

  • 87.15.Zg
89.75.Fb (Structures and organization in complex systems) 05.65.+b (Self-organized systems) 87.85.St (Robotics)