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Article type: Other
Authors: Urdiales, Cristina;
Affiliations: ISIS Group, ETSI Telecomunicación, Campus de Teatinos S/N, Málaga, Spain
Note: [] Address for correspondence: ISIS Group, ETSI Telecomunicación, Campus de Teatinos S/N, 29010 Málaga, Spain. E-mail: cristina@dte.uma.es.
Abstract: In assisted wheelchair navigation it is important to optimize help: an excess may lead to loss of residual skills, whereas a lack may lead to failure in completing a trajectory. Help needed depends on diagnosis, condition, task and environment. This dissertation presents a new approach to personalize assistance through learning. It has been successfully tested and validated at a rehabilitation hospital.
Keywords: Robot, adaptive shared control, learning
DOI: 10.3233/AIC-2011-0500
Journal: AI Communications, vol. 24, no. 4, pp. 337-339, 2011
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