Artigo em revista científica Q1
Supervised morphogenesis: exploiting morphological flexibility of self-assembling multirobot systems through cooperation with aerial robots
Nithin Mathews (Mathews, N.); Anders Christensen (Christensen, A. L.); Alessandro Stranieri (Stranieri, A.); Alexander Scheidler (Scheidler, A.); Marco Dorigo (Dorigo, M.);
Título Revista
Robotics and Autonomous Systems
Ano (publicação definitiva)
2019
Língua
Inglês
País
Países Baixos (Holanda)
Mais Informação
Web of Science®

N.º de citações: 13

(Última verificação: 2024-03-29 03:22)

Ver o registo na Web of Science®


: 0.7
Scopus

N.º de citações: 15

(Última verificação: 2024-03-24 21:44)

Ver o registo na Scopus


: 0.6
Google Scholar

N.º de citações: 19

(Última verificação: 2024-03-28 23:55)

Ver o registo no Google Scholar

Abstract/Resumo
Self-assembling robots have the potential to undergo autonomous morphological adaptation. However, due to the simplicity in their hardware makeup and their limited perspective of the environment, self-assembling robots are often not able to reach their potential and adapt their morphologies to tasks or environments without external cues or prior information. In this paper, we present supervised morphogenesis — a control methodology that makes self-assembling robots truly flexible by enabling aerial robots to exploit their elevated position and better view of the environment to initiate and control (hence supervise) morphology formation on the ground. We present results of two case studies in which we assess the feasibility of the presented methodology using real robotic hardware. In the case studies, we implemented supervised morphogenesis using two different aerial platforms and up to six self-assembling autonomous robots. We furthermore quantify the benefits attainable for self-assembling robots through cooperation with aerial robots using simulation-based studies. The research presented in this paper is a significant step towards realizing the true potential of self-assembling robots by enabling autonomous morphological adaptation to a priori unknown tasks and environments.
Agradecimentos/Acknowledgements
--
Palavras-chave
Self-assembling robots,Heterogeneous multirobot teams,Distributed systems,Air/ground robot teams,Robot coordination,Modular robots
  • Matemáticas - Ciências Naturais
  • Ciências da Computação e da Informação - Ciências Naturais
  • Engenharia Civil - Engenharia e Tecnologia
  • Engenharia Eletrotécnica, Eletrónica e Informática - Engenharia e Tecnologia
Registos de financiamentos
Referência de financiamento Entidade Financiadora
246939 European Research Council
UID/EEA/50008/2013 Fundação para a Ciência e a Tecnologia