Literature DB >> 33298518

Reflections on the future of swarm robotics.

Marco Dorigo1, Guy Theraulaz2,3, Vito Trianni4.   

Abstract

Swarm robotics will tackle real-world applications by leveraging automatic design, heterogeneity, and hierarchical self-organization.
Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Year:  2020        PMID： 33298518     DOI： 10.1126/scirobotics.abe4385

Source DB:  PubMed          Journal:  Sci Robot        ISSN： 2470-9476


  7 in total

Review 1.  Bio-Inspired Robots and Structures toward Fostering the Modernization of Agriculture.

Authors:  Maria Kondoyanni; Dimitrios Loukatos; Chrysanthos Maraveas; Christos Drosos; Konstantinos G Arvanitis
Journal:  Biomimetics (Basel)       Date:  2022-05-29

2.  Physical intelligence as a new paradigm.

Authors:  Metin Sitti
Journal:  Extreme Mech Lett       Date:  2021-04-26

3.  Programming active cohesive granular matter with mechanically induced phase changes.

Authors:  Shengkai Li; Bahnisikha Dutta; Sarah Cannon; Joshua J Daymude; Ram Avinery; Enes Aydin; Andréa W Richa; Daniel I Goldman; Dana Randall
Journal:  Sci Adv       Date:  2021-04-23       Impact factor: 14.136

4.  Order and information in the patterns of spinning magnetic micro-disks at the air-water interface.

Authors:  Wendong Wang; Gaurav Gardi; Paolo Malgaretti; Vimal Kishore; Lyndon Koens; Donghoon Son; Hunter Gilbert; Zongyuan Wu; Palak Harwani; Eric Lauga; Christian Holm; Metin Sitti
Journal:  Sci Adv       Date:  2022-01-14       Impact factor: 14.136

5.  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

6.  Strength-mass scaling law governs mass distribution inside honey bee swarms.

Authors:  Olga Shishkov; Claudia Chen; Claire Allison Madonna; Kaushik Jayaram; Orit Peleg
Journal:  Sci Rep       Date:  2022-10-17       Impact factor: 4.996

7.  Empirical assessment and comparison of neuro-evolutionary methods for the automatic off-line design of robot swarms.

Authors:  Ken Hasselmann; Antoine Ligot; Julian Ruddick; Mauro Birattari
Journal:  Nat Commun       Date:  2021-07-16       Impact factor: 14.919
  7 in total

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