Control de un robot social mediante modelos de comportamiento para el cuidado de personas mayores
- Merino Fidalgo, Sergio 1
- Sánchez-Girón Coca, Celia 1
- Zalama Casanova, Eduardo 1
- Gómez García-Bermejo, Jaime 1
- Duque Domingo, Jaime 1
-
1
Universidad de Valladolid
info
- Cruz Martín, Ana María (coord.)
- Arévalo Espejo, V. (coord.)
- Fernández Lozano, Juan Jesús (coord.)
ISSN: 3045-4093
Year of publication: 2024
Issue: 45
Type: Article
Abstract
In recent years there has been an increase in the number of elderly people living alone in their homes or in a situation ofdependency, who require special care. In many cases, offering this service is complicated, since one caregiver may be in chargeof several people from different locations. To solve this problem, the EIAROB project works to create an ambient intelligenceecosystem to support long-term care at home using social robots. This paper presents an architecture for the control of a socialrobot using hierarchical finite state machines and behaviour trees, inside an elderly person’s home so that the robot interacts withthe elderly person, executing plans by means of an action executor. Two examples of plans are presented: saying good morningand remembering medication, carried out with both methods, and finally their results are presented and compared.
Bibliographic References
- Ben-Ari, M., Mondada, F., Ben-Ari, M., Mondada, F., 2018. Finite state machines. Elements of Robotics, 55–61. DOI: 10.1007/978-3-319-62533-1 4 DOI: https://doi.org/10.1007/978-3-319-62533-1_4
- Colledanchise, M., Ögren, P., 8 2017. Behavior trees in robotics and ai: An introduction. Behavior Trees in Robotics and AI. DOI: 10.1201/9780429489105 DOI: https://doi.org/10.1201/9780429489105
- Cooper, S., Di Fava, A., Vivas, C., Marchionni, L., Ferro, F., 2020. Ari: the social assistive robot and companion. In: 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). pp. 745–751. DOI: 10.1109/RO-MAN47096.2020.9223470 DOI: https://doi.org/10.1109/RO-MAN47096.2020.9223470
- Cooper, S., Lemaignan, S., 2022. Towards using behaviour trees for long-term social robot behaviour. In: 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI). pp. 737–741. DOI: 10.1109/HRI53351.2022.9889662 DOI: https://doi.org/10.1109/HRI53351.2022.9889662
- EIAROB, 2023. Eiarob. https://www.cartif.es/eiarob/
- Flórez-Puga, G., Gómez-Martín, M., Díaz-Agudo, B., González-Calero, P. A., 2008. Dynamic expansion of behaviour trees. In: Proceedings of the AAAI conference on artificial intelligence and interactive digital entertainment. Vol. 4. pp. 36–41. DOI: 10.1609/AIIDE.V4I1.18669 DOI: https://doi.org/10.1609/aiide.v4i1.18669
- Girault, A., Lee, B., Lee, E., 1999. Hierarchical finite state machines with multiple concurrency models. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 18 (6), 742–760. DOI: 10.1109/43.766725 DOI: https://doi.org/10.1109/43.766725
- Hodson, H., 2014. The first family robot. New Scientist 223 (2978), 21. DOI: https://doi.org/10.1016/S0262-4079(14)61389-0 DOI: https://doi.org/10.1016/S0262-4079(14)61389-0
- Hoppmann, C. A., Lay, J. C., Pauly, T., Zambrano, E., 4 2021. Social isolation, loneliness, and solitude in older adulthood. The Handbook of Solitude, 178–189. DOI: 10.1002/9781119576457.CH13 DOI: https://doi.org/10.1002/9781119576457.ch13
- Instituto Nacional de Estadística, 2023. Proporción de personas mayores de cierta edad por comunidad autónoma(1451). https://www.ine.es/jaxiT3/Datos.htm?t=1451#!tabs-tabla.
- Junta de Castilla y León, 2023. La junta activa un teléfono gratuito para detectar, atender y combatir el aislamiento social de los mayores. https://comunicacion.jcyl.es/web/jcyl/Comunicacion/es/Plantilla100Detalle/1284721258421/NotaPrensa/1285343829939/Comunicacion
- Kohnke, L., Moorhouse, B. L., Zou, D., 2023. Chatgpt for language teaching and learning. RELC Journal 54 (2), 537–550. DOI: 10.1177/00336882231162868 DOI: https://doi.org/10.1177/00336882231162868
- Koziolek, H., Gr¨uner, S., R¨uckert, J., 2020. A comparison of mqtt brokers for distributed iot edge computing. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12292 LNCS, 352–368. DOI: 10.1007/978-3-030-58923-3 23 DOI: https://doi.org/10.1007/978-3-030-58923-3_23
- Macedo, F., 2023. Python state machine — python state machine 2.2.0 documentation. URL: https://python-statemachine.readthedocs.io/en/latest/index.html
- Mateas, M., Stern, A., 2002. A behavior language for story-based believable agents. IEEE Intelligent Systems 17 (4), 39–47. DOI: 10.1109/MIS.2002.1024751 DOI: https://doi.org/10.1109/MIS.2002.1024751
- Merino-Fidalgo, S., Zalama, E., Gómez-García-Bermejo, J.and Duque-Domingo, J., Gómez, R., Viñas, P., García, D., Urueña, H., 7 2023. Sistema de monitorización no intrusiva para vivienda de personas mayores. Jornadas Nacionales de Robótica y Bioingeniería 2023: Libro de actas, 115–121. DOI: 10.20868/UPM.BOOK.74896 DOI: https://doi.org/10.20868/UPM.book.74896
- Mishra, B., Kertesz, A., 2020. The use of mqtt in m2m and iot systems: A survey. IEEE Access 8, 201071–201086. DOI: 10.1109/ACCESS.2020.3035849 DOI: https://doi.org/10.1109/ACCESS.2020.3035849
- Robertson, G., Watson, I., 2015. Building behavior trees from observations in real-time strategy games. In: 2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA). pp. 1–7. DOI: 10.1109/INISTA.2015.7276774 DOI: https://doi.org/10.1109/INISTA.2015.7276774
- Singh, A. K., Kumbhare, V. A., Arthi, K., 2022. Real-time human pose detection and recognition using mediapipe, 145–154. DOI: 10.1007/978-981-16-7088-6_12 DOI: https://doi.org/10.1007/978-981-16-7088-6_12
- Stonier, D., 2023. Py trees — py trees 2.2.3 documentation. URL: https://py-trees.readthedocs.io/en/devel/index.html
- Temi V3, 2024. Temi v3. https://www.robotemi.com/product/temi/