In this paper, we present an online adaptation approach and a long-term learning approach for socially assistive robotic (SAR) systems that aim to provide customized help protocols through motivation, encouragements, and companionship to users suffering from physical and/or cognitive changes related to stroke, aging and Alzheimer’s disease.
CITATION STYLE
Tapus, A., Tapus, C., & Matarić, M. (2010). Long Term Learning and Online Robot Behavior Adaptation for Individuals with Physical and Cognitive Impairments. Springer Tracts in Advanced Robotics, 62, 389–398. https://doi.org/10.1007/978-3-642-13408-1_35
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