Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/10679
Autoria: | Mathews, N. Valentini, G. Christensen, A. L. O'Grady, R. Brutschy, A. Dorigo, M. |
Data: | 2015 |
Título próprio: | Spatially targeted communication in decentralized multirobot systems |
Volume: | 38 |
Número: | 4 |
Paginação: | 439 - 457 |
ISSN: | 0929-5593 |
DOI (Digital Object Identifier): | 10.1007/s10514-015-9423-6 |
Palavras-chave: | Decentralized multirobot systems Robot swarms Air-ground robot teams Spatial coordination Inter-robot communication |
Resumo: | Spatially targeted communication (STC) allows a message sender to choose message recipients based on their location in space. Currently, STC in multirobot systems is limited to centralized systems. In this paper, we propose a novel communication protocol that enables STC in decentralized multirobot systems. The proposed protocol dispenses with the many aspects that underpin previous approaches, including external tracking infrastructure, a priori knowledge, global information, dedicated communication devices or unique robot IDs. We show how off-the-shelf hardware components such as cameras and LEDs can be used to establish ad-hoc STC links between robots. We present a Markov chain model for each of the two constituent parts of our proposed protocol and we show, using both model-based analysis and experimentation, that the proposed protocol is highly scalable. We also present the results of extensive experiments carried out on an autonomous, heterogeneous multirobot system composed of one aerial robot and numerous ground-based robots. Finally, two real world application scenarios are presented in which we show how spatial coordination can be achieved in a decentralized multirobot system through STC. |
Arbitragem científica: | yes |
Acesso: | Acesso Aberto |
Aparece nas coleções: | IT-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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post_print_autonomous_robots_2015.pdf | Pós-print | 392,7 kB | Adobe PDF | Ver/Abrir |
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