ALIZ-E project

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Random Research Highlight

Sustained human-robot interaction requires the robot to adapt to the preferences, interaction style, and other characteristics of the human as much as the human adapts to those of the robot. We have researched methodologies for adaptation to personalize and specialize the interaction between an assistive companion robot and (diabetic) children. We have developed algorithms that adapt the level of interaction in tasks involving sensorimotor task instruction, for example dance instruction, to the particular user. We tested our methods in scenarios involving teaching a child to dance, one of the first attempts to use robots for sensorimotor task instruction in children.