Literature DB >> 33501074

Automatic Off-Line Design of Robot Swarms: A Manifesto.

Mauro Birattari1, Antoine Ligot1, Darko Bozhinoski1, Manuele Brambilla1, Gianpiero Francesca1, Lorenzo Garattoni1, David Garzón Ramos1, Ken Hasselmann1, Miquel Kegeleirs1, Jonas Kuckling1, Federico Pagnozzi1, Andrea Roli2, Muhammad Salman1, Thomas Stützle1.   

Abstract

Designing collective behaviors for robot swarms is a difficult endeavor due to their fully distributed, highly redundant, and ever-changing nature. To overcome the challenge, a few approaches have been proposed, which can be classified as manual, semi-automatic, or automatic design. This paper is intended to be the manifesto of the automatic off-line design for robot swarms. We define the off-line design problem and illustrate it via a possible practical realization, highlight the core research questions, raise a number of issues regarding the existing literature that is relevant to the automatic off-line design, and provide guidelines that we deem necessary for a healthy development of the domain and for ensuring its relevance to potential real-world applications.
Copyright © 2019 Birattari, Ligot, Bozhinoski, Brambilla, Francesca, Garattoni, Garzón Ramos, Hasselmann, Kegeleirs, Kuckling, Pagnozzi, Roli, Salman and Stützle.

Entities:  

Keywords:  automatic design; collective behaviors; design methodology; evolutionary robotics; swarm robotics

Year:  2019        PMID: 33501074      PMCID: PMC7806002          DOI: 10.3389/frobt.2019.00059

Source DB:  PubMed          Journal:  Front Robot AI        ISSN: 2296-9144


  16 in total

Review 1.  Open Issues in Evolutionary Robotics.

Authors:  Fernando Silva; Miguel Duarte; Luís Correia; Sancho Moura Oliveira; Anders Lyhne Christensen
Journal:  Evol Comput       Date:  2015-11-18       Impact factor: 3.277

2.  Particle robotics based on statistical mechanics of loosely coupled components.

Authors:  Shuguang Li; Richa Batra; David Brown; Hyun-Dong Chang; Nikhil Ranganathan; Chuck Hoberman; Daniela Rus; Hod Lipson
Journal:  Nature       Date:  2019-03-20       Impact factor: 49.962

3.  Autonomous task sequencing in a robot swarm.

Authors:  Lorenzo Garattoni; Mauro Birattari
Journal:  Sci Robot       Date:  2018-07-18

Review 4.  The grand challenges of Science Robotics.

Authors:  Guang-Zhong Yang; Jim Bellingham; Pierre E Dupont; Peer Fischer; Luciano Floridi; Robert Full; Neil Jacobstein; Vijay Kumar; Marcia McNutt; Robert Merrifield; Bradley J Nelson; Brian Scassellati; Mariarosaria Taddeo; Russell Taylor; Manuela Veloso; Zhong Lin Wang; Robert Wood
Journal:  Sci Robot       Date:  2018-01-31

5.  Reconfigurable magnetic microrobot swarm: Multimode transformation, locomotion, and manipulation.

Authors:  Hui Xie; Mengmeng Sun; Xinjian Fan; Zhihua Lin; Weinan Chen; Lei Wang; Lixin Dong; Qiang He
Journal:  Sci Robot       Date:  2019-03-20

6.  Evolution of adaptive behaviour in robots by means of Darwinian selection.

Authors:  Dario Floreano; Laurent Keller
Journal:  PLoS Biol       Date:  2010-01-26       Impact factor: 8.029

7.  Advantages of Task-Specific Multi-Objective Optimisation in Evolutionary Robotics.

Authors:  Vito Trianni; Manuel López-Ibáñez
Journal:  PLoS One       Date:  2015-08-21       Impact factor: 3.240

8.  Ultra-extensible ribbon-like magnetic microswarm.

Authors:  Jiangfan Yu; Ben Wang; Xingzhou Du; Qianqian Wang; Li Zhang
Journal:  Nat Commun       Date:  2018-08-21       Impact factor: 14.919

9.  Evolution of Self-Organized Task Specialization in Robot Swarms.

Authors:  Eliseo Ferrante; Ali Emre Turgut; Edgar Duéñez-Guzmán; Marco Dorigo; Tom Wenseleers
Journal:  PLoS Comput Biol       Date:  2015-08-06       Impact factor: 4.475

10.  A Design Pattern for Decentralised Decision Making.

Authors:  Andreagiovanni Reina; Gabriele Valentini; Cristian Fernández-Oto; Marco Dorigo; Vito Trianni
Journal:  PLoS One       Date:  2015-10-23       Impact factor: 3.240

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  7 in total

1.  Automatic modular design of robot swarms using behavior trees as a control architecture.

Authors:  Antoine Ligot; Jonas Kuckling; Darko Bozhinoski; Mauro Birattari
Journal:  PeerJ Comput Sci       Date:  2020-11-09

2.  Iterative improvement in the automatic modular design of robot swarms.

Authors:  Jonas Kuckling; Thomas Stützle; Mauro Birattari
Journal:  PeerJ Comput Sci       Date:  2020-12-07

3.  Modular automatic design of collective behaviors for robots endowed with local communication capabilities.

Authors:  Ken Hasselmann; Mauro Birattari
Journal:  PeerJ Comput Sci       Date:  2020-08-17

Review 4.  Swarm SLAM: Challenges and Perspectives.

Authors:  Miquel Kegeleirs; Giorgio Grisetti; Mauro Birattari
Journal:  Front Robot AI       Date:  2021-03-17

5.  Concurrent design of control software and configuration of hardware for robot swarms under economic constraints.

Authors:  Muhammad Salman; Antoine Ligot; Mauro Birattari
Journal:  PeerJ Comput Sci       Date:  2019-09-30

Review 6.  Balancing Collective Exploration and Exploitation in Multi-Agent and Multi-Robot Systems: A Review.

Authors:  Hian Lee Kwa; Jabez Leong Kit; Roland Bouffanais
Journal:  Front Robot AI       Date:  2022-02-01

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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