@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 = {Conference Paper},
  bib2html_rescat  = {Planning},
  bib2html_groups  = {Cogito},
  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. }}