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Armin Müller, Alexandra Kirsch, and Michael Beetz. Transformational Planning for Everyday Activity. In Proceedings of the 17th International Conference on Automated Planning and Scheduling (ICAPS'07), pp. 248–255, Providence, USA, September 2007.

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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.

BibTeX Entry

@InProceedings{mueller07transformational,
  author    = {Armin M{\"u}ller and Alexandra Kirsch and Michael Beetz},
  title     = {Transformational Planning for Everyday Activity},
  booktitle = {Proceedings of the 17th International Conference on Automated Planning and Scheduling (ICAPS'07)},
  year      = {2007},
  month     = {September},
  address   = {Providence, USA},
  pages     = {248--255},
  bib2html_pubtype = {Refereed Conference Paper},
  bib2html_rescat  = {Plan-based Robot Control},
  bib2html_groups  = {IAS},
  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. }}

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