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.},
}