Task allocation and trajectory planning for multiple agents in the presence of obstacle and connectivity constraints with mixed‐integer linear programming

Author:

Afonso Rubens J.M.12ORCID,Maximo Marcos R.O.A.3ORCID,Galvão Roberto K.H.2ORCID

Affiliation:

1. Institute of Flight System Dynamics, Department of Aerospace and GeodesyTechnical University of Munich Bavaria Germany

2. Electronic Engineering DivisionInstituto Tecnológico de Aeronáutica São Paulo Brazil

3. Autonomous Computational Systems Lab (LAB‐SCA), Computer Science DivisionInstituto Tecnológico de Aeronáutica São Paulo Brazil

Funder

Alexander von Humboldt-Stiftung

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Reference31 articles.

1. AgmonN FokCL EmaliahY StoneP JulienC VishwanathS. On coordination in practical multi‐robot patrol. Paper presented at: Proceedings of the IEEE International Conference on Robotics and Automation sICRA);2012:650‐656; St. Paul.

2. On Multi-robot Area Coverage

3. Multi-Robot Search and Rescue: A Potential Field Based Approach

4. BurgardW MoorsM FoxD SimmonsR ThrunS. Collaborative multi‐robot exploration. Paper presented at: Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065). Proceedings of the IEEE International Conference on Robotics and Automation (ICRA);2000:476‐481; San Francisco.

5. A survey and analysis of multi‐robot coordination;Yan Z;J Adv Robot Syst,2013

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