RT Conference Proceedings
T1 Context Aware Cognitive Architecture for Adaptive Socially Assistive Robots.
A1 Galeas-Merchán, José Miguel
A1 Tudela, Alberto
A1 Ballesteros-Gómez, Joaquín
A1 Ayala-Viñas, Inmaculada
A1 Romero-Garcés, Adrián
A1 Bandera-Rubio, Juan Pedro
K1 Robots autónomos
AB Socially Assistive Robots need to be aware of their context to be useful. Acceptance and usefulness come from adapting the robot’s behavior to the user and the situation. This paper aims to achieve this enhanced social awareness. It presents a cognitive architecture designed to include the whole context and to be shared by all agents in a smart environment. The architecture is provided with an ontology to facilitate the extension of the robot’s functionalities and the description of its behavior. It can adapt this behavior by toggling the execution of use cases and by modifying the execution of each use case according to the context. To test the proposed cognitive architecture, a set of use cases has been defined following a participatory design involving residents and caregivers from a retirement home. These use cases were incorporated into the architecture and analyzed in a one-month pilot study conducted in the retirement home. Results discussed in this paper show the potential of the solution to increase robot efficiency through adaptability.
YR 2025
FD 2025
LK https://hdl.handle.net/10630/45189
UL https://hdl.handle.net/10630/45189
LA eng
NO Se adjunta la versión de autor, camera-ready, del paper aceptado y presentado en la conferencia UCAMI 2025 (https://www.ucami.org/)..
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 26 feb 2026