Field-Drive Robot Swarm Quasi-Transitions
ORAL
Abstract
We present an ecology-inspired form of active matter consisting of a field-drive 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, which they deplete (dim) locally by their presence, as living agents would do by seeking maximum resources yet consuming local resources. We show there emerge dynamic phase transitions as a function of robot density, resource consumption and resource recovery rate. Paradoxically the non-gas phases emerge from smooth, flat resource landscapes, not rough ones, and each phase can directly move to the glass state.
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Presenters
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Trung Phan
Princeton University
Authors
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Gao Wang
Physics, Chongquing University
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Trung Phan
Princeton University
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Shengkai Li
Georgia Inst of Tech, Georgia Institute of Technology, Physics, Georgia Institute of Technology
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Michael Wombacher
Physics, Chongquing University
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Guo Chen
Physics, Chongquing University
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Junle Qu
Physics, Shenzhen University
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Yan Peng
Physics, Chongquing University
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Daniel I Goldman
Georgia Inst of Tech, Georgia Institute of Technology, School of Physics, Georgia Institute of Technology, Physics, Georgia Institute of Technology
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Simon Levin
Princeton University
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Robert Austin
Princeton University