Literature DB >> 33784150

Emergent Field-Driven Robot Swarm States.

Gao Wang1, Trung V Phan2, Shengkai Li3, Michael Wombacher1, Junle Qu4, Yan Peng5, Guo Chen1, Daniel I Goldman3, Simon A Levin6, Robert H Austin2, Liyu Liu1.   

Abstract

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.

Year:  2021        PMID: 33784150     DOI: 10.1103/PhysRevLett.126.108002

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  5 in total

1.  Field-mediated locomotor dynamics on highly deformable surfaces.

Authors:  Shengkai Li; Yasemin Ozkan-Aydin; Charles Xiao; Gabriella Small; Hussain N Gynai; Gongjie Li; Jennifer M Rieser; Pablo Laguna; Daniel I Goldman
Journal:  Proc Natl Acad Sci U S A       Date:  2022-07-20       Impact factor: 12.779

2.  Social learning in swarm robotics.

Authors:  Nicolas Bredeche; Nicolas Fontbonne
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-12-13       Impact factor: 6.237

3.  Robots as models of evolving systems.

Authors:  Gao Wang; Trung V Phan; Shengkai Li; Jing Wang; Yan Peng; Guo Chen; Junle Qu; Daniel I Goldman; Simon A Levin; Kenneth Pienta; Sarah Amend; Robert H Austin; Liyu Liu
Journal:  Proc Natl Acad Sci U S A       Date:  2022-03-17       Impact factor: 12.779

4.  A distributed nanocluster based multi-agent evolutionary network.

Authors:  Liying Xu; Jiadi Zhu; Bing Chen; Zhen Yang; Keqin Liu; Bingjie Dang; Teng Zhang; Yuchao Yang; Ru Huang
Journal:  Nat Commun       Date:  2022-08-10       Impact factor: 17.694

5.  Chemotactic self-caging in active emulsions.

Authors:  Babak Vajdi Hokmabad; Jaime Agudo-Canalejo; Suropriya Saha; Ramin Golestanian; Corinna C Maass
Journal:  Proc Natl Acad Sci U S A       Date:  2022-06-09       Impact factor: 12.779

  5 in total

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