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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.

Presenters

  • Trung Phan

    Princeton University

Authors

  • Gao Wang

    Physics, Chongquing University

  • Trung Phan

    Princeton University

  • Shengkai Li

    Georgia Inst of Tech, Georgia Institute of Technology, Physics, Georgia Institute of Technology

  • Michael Wombacher

    Physics, Chongquing University

  • Guo Chen

    Physics, Chongquing University

  • Junle Qu

    Physics, Shenzhen University

  • Yan Peng

    Physics, Chongquing University

  • Daniel I Goldman

    Georgia Inst of Tech, Georgia Institute of Technology, School of Physics, Georgia Institute of Technology, Physics, Georgia Institute of Technology

  • Simon Levin

    Princeton University

  • Robert Austin

    Princeton University