Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/167085
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Robot social-aware navigation framework to accompany people walking side-by-side |
Autor: | Ferrer, Gonzalo CSIC ORCID; Garrell, Anaís CSIC ORCID ; Herrero, Fernando CSIC ORCID; Sanfeliu, Alberto CSIC ORCID | Palabras clave: | Urban robot navigation Human–robot interaction Service robots Robot companion |
Fecha de publicación: | 2017 | Editor: | Springer Nature | Citación: | Autonomous Robots 41(4): 775-793 (2017) | Resumen: | We present a novel robot social-aware navigation framework to walk side-by-side with people in crowded urban areas in a safety and natural way. The new system includes the following key issues: to propose a new robot social-aware navigation model to accompany a person; to extend the Social Force Model, “Extended Social-Force Model”, to consider the person and robot’s interactions; to use a human predictor to estimate the destination of the person the robot is walking with; and to interactively learning the parameters of the social-aware navigation model using multimodal human feedback. Finally, a quantitative metric based on people’s personal spaces and comfortableness criteria, is introduced in order to evaluate quantitatively the performance of the robot’s task. The validation of the model is accomplished throughout an extensive set of simulations and real-life experiments. In addition, a volunteers’ survey is used to measure the acceptability of our robot companion’s behavior. | URI: | http://hdl.handle.net/10261/167085 | DOI: | 10.1007/s10514-016-9584-y | Identificadores: | doi: 10.1007/s10514-016-9584-y e-issn: 1573-7527 issn: 0929-5593 |
Aparece en las colecciones: | (IRII) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
accesoRestringido.pdf | 15,38 kB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
SCOPUSTM
Citations
72
checked on 10-abr-2024
WEB OF SCIENCETM
Citations
57
checked on 26-feb-2024
Page view(s)
250
checked on 22-abr-2024
Download(s)
122
checked on 22-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.