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.},
}
Powered by bibtexbrowser
Learning Ability Models for Human-Robot Collaboration (bibtex)
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.},
}
Powered by bibtexbrowser

Publications