Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Rubén Martín García"'
Publikováno v:
Entropy, Vol 24, Iss 5, p 606 (2022)
In this paper, we study the phenomena of collapse and anomalous diffusion in shared mobility systems. In particular, we focus on a fleet of vehicles moving through a stations network and analyse the effect of self-journeys in system stability, using
Externí odkaz:
https://doaj.org/article/8efa97a4944449dda80cbcf60e3e0857
Autor:
Rubén Martín García, Francisco Prieto-Castrillo, Gabriel Villarrubia González, Javier Prieto Tejedor, Juan Manuel Corchado
Publikováno v:
Energies, Vol 10, Iss 7, p 929 (2017)
In this work we show how a simple model based on chemical signaling can reduce the exploration times in urban environments. The problem is relevant for smart city navigation where electric vehicles try to find recharging stations with unknown locatio
Externí odkaz:
https://doaj.org/article/8d371c96c90946ae99a5e3f644833b6c
Publikováno v:
Proceedings TEEM 2022: Tenth International Conference on Technological Ecosystems for Enhancing Multiculturality ISBN: 9789819909414
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29cb769c212e9c426a858252673a00a9
https://doi.org/10.1007/978-981-99-0942-1_29
https://doi.org/10.1007/978-981-99-0942-1_29
Autor:
Samuel Marcos-Pablos, Lucía Martín-Gómez, Rebeca Cordero-Gutiérrez, Rubén Martín-García, Daniel H. de la Iglesia
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783031148583
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4340e9a7c1503fcde6f94306ca770cb
https://doi.org/10.1007/978-3-031-14859-0_19
https://doi.org/10.1007/978-3-031-14859-0_19
Autor:
Rubén Martín-García, Samuel Marcos-Pablos, Lucía Martín-Gómez, Rebeca Cordero-Gutiérrez, Daniel Hernández de la Iglesia
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783031148583
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d8c856dd92c3ecd589c058e7632f359
https://doi.org/10.1007/978-3-031-14859-0_21
https://doi.org/10.1007/978-3-031-14859-0_21
Autor:
Gabriel Villarrubia, Daniel Hernandez de la Iglesia, Juan F. De Paz, Valderi Reis Quietinho Leithardt, Rubén Martín García
Publikováno v:
2021 Telecoms Conference (ConfTELE).
In case of a natural disaster, the use of human-robot cooperation is a great option, for this reason the research area Robotic Urban Search and Rescue (USAR) is very promising. This paper proposes a new distributed architecture based on a swarm of ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::357a475a1074442438125594f68d6f09
https://doi.org/10.1109/conftele50222.2021.9435557
https://doi.org/10.1109/conftele50222.2021.9435557
Autor:
Francisco Prieto-Castrillo, Rubén Martín García, Juan M. Corchado, Gabriel Villarrubia González, Javier Tejedor
Publikováno v:
Energies; Volume 10; Issue 7; Pages: 929
Energies, Vol 10, Iss 7, p 929 (2017)
Energies, Vol 10, Iss 7, p 929 (2017)
In this work we show how a simple model based on chemical signaling can reduce the exploration times in urban environments. The problem is relevant for smart city navigation where electric vehicles try to find recharging stations with unknown locatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41ad0a0a5f90bb89d6f808349e0a3182
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319611174
ISAmI
ISAmI
In this work we show how a simple anti-pheromone ant foraging based algorithm can be effective in urban navigation by reducing exploration times. We use a distributed multi agent architecture to test this algorithm. Swarm collaboration is analysed fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49309b2bebdd48c3fbecfdcfe8ffbff7
https://doi.org/10.1007/978-3-319-61118-1_17
https://doi.org/10.1007/978-3-319-61118-1_17
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319599298
PAAMS
PAAMS
In this work we show how a simple anti-pheromone ant foraging based algorithm can be effective in urban navigation by reducing exploration times. We use a distributed multi agent architecture to test this algorithm. Swarm collaboration is analysed fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae7ec8719dfffcf0faf33b4cac9067e6
https://doi.org/10.1007/978-3-319-59930-4_32
https://doi.org/10.1007/978-3-319-59930-4_32
We show how exploration times can be significantly reduced by a simple anti-pheromone ant foraging based algorithm. This is implemented in a distributed multi agent architecture. The swarm behavior is analyzed for different scenarios with varying num
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd44ef4dfc41247acf3d06edca8983e8