Adapting robot task planning to user preferences: an assistive shoe dressing example
Cita com:
hdl:2117/167254
Tipus de documentArticle
Data publicació2019-08-01
Condicions d'accésAccés obert
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Abstract
Healthcare robots will be the next big advance in humans’ domestic welfare, with robots able to assist elderly people and users with disabilities. However, each user has his/her own preferences, needs and abilities. Therefore, robotic assistants will need to adapt to them, behaving accordingly. Towards this goal, we propose a method to perform behavior adaptation to the user preferences, using symbolic task planning. A user model is built from the user’s answers to simple questions with a fuzzy inference system, and it is then integrated into the planning domain. We describe an adaptation method based on both the user satisfaction and the execution outcome, depending on which penalizations are applied to the planner’s rules. We demonstrate the application of the adaptation method in a simple shoe-fitting scenario, with experiments performed in a simulated user environment. The results show quick behavior adaptation, even when the user behavior changes, as well as robustness to wrong inference of the initial user model. Finally, some insights in a non-simulated world shoe-fitting setup are also provided.
Descripció
The final publication is available at link.springer.com
CitacióCanal, G.; Alenyà, G.; Torras, C. Adapting robot task planning to user preferences: an assistive shoe dressing example. "Autonomous robots", 1 Agost 2019, vol. 43, núm. 3, p. 1343-1356.
ISSN0929-5593
Versió de l'editorhttps://link.springer.com/article/10.1007%2Fs10514-018-9737-2
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