Learning Ability Models for Human-Robot Collaboration (bibtex)
by A Kirsch and F Cheng
Abstract:
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.
Reference:
Learning Ability Models for Human-Robot Collaboration (A Kirsch and F Cheng), In Robotics: Science and Systems (RSS) — Workshop on Learning for Human-Robot Interaction Modeling, 2010.
Bibtex Entry:
@inproceedings{kirsch_learning_2010, author = {A Kirsch and F Cheng}, title = {Learning Ability Models for Human-Robot Collaboration}, booktitle = {Robotics: Science and Systems ({RSS)} — Workshop on Learning for Human-Robot Interaction Modeling}, year = {2010}, abstract = {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.}, }
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