Listar por autor "Peula Palacios, José Manuel"
Mostrando ítems 1-9 de 9
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A bottom-up robot architecture based on learnt behaviors driven design
Herrero-Reder, Ignacio
; Urdiales-García, Amalia Cristina; Peula-Palacios, José Manuel; Sandoval-Hernández, Francisco (2015-06-17)
In reactive layers of robotic architectures, behaviors should learn their operation from experience, following the trends of modern intelligence theories. A Case Based Reasoning (CBR) reactive layer could allow to achieve ... -
A new multi-criteria optimization strategy for shared control in wheelchair assisted navigation
Urdiales-García, Amalia Cristina; Peula Palacios, José Manuel; Fernández-Carmona, Manuel; Barrue, Cristian; Perez, Eduardo Jesús; Sanchez-Tato, Isabel; del Toro, Jose Carlos; Galluppi, F.; Cortés, Ulises; Annichiaricco, Roberta; Caltagirone, Carlo; Sandoval-Hernández, Francisco[et al.] (Springer, 2010)
In todays aging society, many people require mobility assistance, that can be provided by robotized assistive wheelchairs with a certain degree of autonomy when manual control is unfeasible due to disability. Robot ... -
Automatic fall risk assessment for challenged users obtained from a rollator equipped with force sensors and a RGB-D camera
Ballesteros-Gómez, Joaquín; Urdiales-García, Amalia Cristina; Martínez, Antonio; Peula-Palacios, José Manuel (2018-10-04)
Fall risk assessments provide a useful tool to prevent morbidity and mortality provoked by falls. Nowadays, these assessments are usually performed manually by the medical staff. This approach has three main drawbacks: i) ... -
Case-based reasoning emulation of persons for wheelchair navigation.
Peula Palacios, José Manuel; Urdiales-García, Amalia Cristina; Herrero-Reder, Ignacio; Fernández-Carmona, Manuel; Sandoval-Hernández, Francisco (Elsevier, 2012)
Our approach is based on extracting meaningful data from real users driving a power wheelchair autonomously. This data is then used to train a case-based reasoning (CBR) system that captures the specifics of the driver via ... -
Learning-Based Adaptation for Personalized Mobility Assistance
Urdiales-García, Amalia Cristina; Peula-Palacios, José Manuel; Fernández-Carmona, Manuel; Sandoval-Hernández, Francisco (Springer-Verlag, 2013)
Mobility assistance is of key importance for people with disabilities to remain autonomous in their preferred environments. In severe cases, assistance can be provided by robotized wheelchairs that can perform complex ... -
On the construction of a skill-based wheelchair navigation profile.
(IEEE, 2013)Assisted wheelchair navigation is of key importance for persons with severe disabilities. The problem has been solved in different ways, usually based on the shared control paradigm. This paradigm consists of giving the ... -
Sistema de coordinación multiagente basado en comportamientos aprendidos
(Servicio de Publicaciones y Divulgación Científica, 2015)La robótica ha cambiado enormemente desde sus orígenes hasta la actualidad, pasando de simples autómatas que realizaban una simple tarea repetitiva de forma automática a robots autónomos con una gran versatilidad y capacidades ... -
Towards a Shared Control Navigation Function: Efficiency Based Command Modulation
Fernández-Carmona, Manuel; Peula-Palacios, José Manuel; Urdiales-García, Amalia Cristina; Sandoval-Hernández, Francisco (2015-07-07)
This paper presents a novel shared control algorithm for robotized wheelchairs. The proposed algorithm is a new method to extend autonomous navigation techniques into the shared control domain. It reactively combines ... -
Wheelchair collaborative control for disabled users navigating indoors.
Urdiales-García, Amalia Cristina; Fernández-Carmona, Manuel; Peula Palacios, José Manuel; Cortés, Ulises; Annichiaricco, Roberta; Caltagirone, Carlo; Sandoval-Hernández, Francisco[et al.] (Elsevier, 2011)
Objective: Mobility is of key importance for autonomous living. Persons with severe disabilities may be assisted by robotic wheelchairs when manual control is not possible. However, these persons should contribute to control ...