Upgrading the cognitive architecture of a robot to become socially aware

• Autores: José Galeas, Pedro Núñez, Alberto Tudela, Antonio Jerez, Oscar Pons, Juan Pedro Bandera
• Localización: Proceedings of the XXIV Workshop of Physical Agents: September 5-6, 2024 / coord. por Miguel Cazorla Quevedo, Francisco Gómez Donoso, Félix Escalona Moncholi, 2024, ISBN 978-84-09-63822-2, págs. 60-73
• Idioma: inglés
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• Resumen

  • Socially Assistive Robots are becoming an important technology to cope with the deep demographic changes of the coming society. These robots are a versatile tool for caregivers and can add value to the services provided in care centers such as retirement homes. However, to meet these expectations, they need to address important challenges. They need to be not only functional, but also acceptable, useful and accessible. They need to adapt their behaviour not only to the physical but also to the social context, adapting their behaviour to the preferences, expectations and needs of the people around them. They also need to explain their behaviour, going beyond data-driven explanations to include causal reasoning. This paper presents the research work carried out in the CAMPERO and SHADOW national projects to implement a socially assistive robot capable of adapting to the social context. This work has been dedicated to the improvement of previous robotic platforms, and also to produce a shared cognitive architecture that includes adaptation mechanisms, different types of memory, and deep multi-agent synchronization. The paper describes the results of functional tests that have been carried out in laboratory environments, before the robot is deployed in a retirement home for a long-term evaluation of the user experience.