机器人
群体行为
光场
光强度
强度(物理)
群机器人
计算机科学
资源(消歧)
平面的
领域(数学)
物理
材料科学
拓扑(电路)
人工智能
光学
数学
工程类
电气工程
纯数学
计算机网络
计算机图形学(图像)
作者
Gao Wang,Trung V. Phan,Shengkai Li,Michael Wombacher,Junle Qu,Yan Peng,Guo Chen,Daniel I. Goldman,Simon A. Levin,Robert H. Austin,Liyu Liu
标识
DOI:10.1103/physrevlett.126.108002
摘要
We present an ecology-inspired form of active matter consisting of a robot swarm. Each robot moves over a planar dynamic resource environment represented by a large light-emitting diode array in search of maximum light intensity; the robots deplete (dim) locally by their presence the local light intensity and seek maximum light intensity. Their movement is directed along the steepest local light intensity gradient; we call this emergent symmetry breaking motion “field drive.” We show there emerge dynamic and spatial transitions similar to gas, crystalline, liquid, glass, and jammed states as a function of robot density, resource consumption rates, and resource recovery rates. Paradoxically the nongas states emerge from smooth, flat resource landscapes, not rough ones, and each state can directly move to a glassy state if the resource recovery rate is slow enough, at any robot density.Received 24 September 2020Revised 22 December 2020Accepted 15 February 2021DOI:https://doi.org/10.1103/PhysRevLett.126.108002© 2021 American Physical SocietyPhysics Subject Headings (PhySH)Research AreasCollective behaviorCollective behavior in networksEmergence of patternsPhysical SystemsActive matterDry active matterPolymers & Soft MatterNetworks
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