Challenges on the Application of Automated Planning for Comprehensive Geriatric Assessment Using an Autonomous Social Robot
| Autor: | Javier García-Polo, Fernando Fernández, Angel García-Olaya, José Carlos González, Raquel Fuentetaja |
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| Přispěvatelé: | European Commission, Ministerio de Economía y Competitividad (España) |
| Rok vydání: | 2018 |
| Předmět: |
Informática
Social robot Planning and execution Computer science Medical procedure Social robotics 02 engineering and technology Comprehensive geriatric assessment Autonomous robot Automated planning Human–robot interaction Domain (software engineering) Test (assessment) Unexpected events Health-care robotics Human–computer interaction 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Input method Human-robot interaction |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783319998848 WAF e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid instname |
| Popis: | November 22-23, 2018, Madrid, Spain Comprehensive Geriatric Assessment is a medical procedure to evaluate the physical, social and psychological status of elder patients. One of its phases consists of performing different tests to the patient or relatives. In this paper we present the challenges to apply Automated Planning to control an autonomous robot helping the clinician to perform such tests. On the one hand the paper focuses on the modelling decisions taken, from an initial approach where each test was encoded using slightly different domains, to the final unified domain allowing any test to be represented. On the other hand, the paper deals with practical issues arisen when executing the plans. Preliminary tests performed with real users show that the proposed approach is able to seamlessly handle the patient-robot interaction in real time, recovering from unexpected events and adapting to the users' preferred input method, while being able to gather all the information needed by the clinician. This work has been partially funded by the European Union ECHORD++ project (FP7-ICT-601116) and the TIN2015-65686-C5 Spanish Ministerio de Economía y Competitividad project. Javier García is partially supported by the Comunidad de Madrid (Spain) funds under the project 2016-T2/TIC-1712. |
| Databáze: | OpenAIRE |
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