by A Müller, A Kirsch and M Beetz
Abstract:
We propose an approach to transformational planning and learning of everyday activity. This approach is targeted at autonomous robots that are to perform complex activities such as household chore. Our approach operates on flexible and reliable plans suited for long-term activity and applies plan transformations that generate competent and high-performance robot behavior. We show as a proof of concept that general transformation rules can be formulated that achieve substantially and significantly improved performance using table setting as an example.
Reference:
Transformational Planning for Everyday Activity (A Müller, A Kirsch and M Beetz), In Proceedings of the 17th International Conference on Automated Planning and Scheduling (ICAPS'07), 2007.
Bibtex Entry:
@inproceedings{muller_transformational_2007,
author = {A Müller and A Kirsch and M Beetz},
title = {Transformational Planning for Everyday Activity},
booktitle = {Proceedings of the 17th International Conference on Automated Planning
and Scheduling ({ICAPS'07)}},
year = {2007},
pages = {248–255},
address = {Providence, {USA}},
month = {sep},
abstract = {We propose an approach to transformational planning and learning of
everyday activity. This approach is targeted at autonomous robots
that are to perform complex activities such as household chore. Our
approach operates on flexible and reliable plans suited for long-term
activity and applies plan transformations that generate competent
and high-performance robot behavior. We show as a proof of concept
that general transformation rules can be formulated that achieve
substantially and significantly improved performance using table
setting as an example.},
}