Learning Ability Models for Human-Robot Collaboration

Alexandra Kirsch (1, 2) , Fan Cheng (1)

1 Intelligent Autonomous Systems
2 Human-Computer Interaction and Artificial Intelligence

Our vision is a pro-active robot that assists elderly or disabled people in everyday activities. Such a robot needs knowledge in the form of prediction models about a person’s abilities, preferences and expectations in order to decide on the best way to assist. We are interested in learning such models from observation. We report on a first approach to learn ability models for manipulation tasks and identify some general challenges for the acquisition of human models.

Domaines: Interface homme-machine [cs.HC]; Robotique [cs.RO]; Apprentissage [cs.LG]

Alexandra Kirsch, Fan Cheng. Learning Ability Models for Human-Robot Collaboration. Robotics: Science and Systems (RSS) --- Workshop on Learning for Human-Robot Interaction Modeling, 2010, Zaragoza, Spain. ⟨hal-01405755⟩