Publications Freek Stulp

@InProceedings{stulp05optimizeda,
  title                    = {Optimized Execution of Action Chains through Subgoal Refinement},
  author                   = {Freek Stulp and Michael Beetz},
  booktitle                = {Proceedings of the ICAPS Workshop on Plan Execution: A Reality Check},
  year                     = {2005},
  note                     = {Non-archival.},
  abstract                 = {In this paper we propose a novel computation model for the execution of abstract action chains. In this computation model a robot first learns situation-specific performance models of abstract actions. It then uses these models to automatically specialize the abstract actions for their execution in a given action chain. This specialization results in refined chains that are optimized for performance. As a side effect this behavior optimization also appears to produce action chains with seamless transitions between actions.},
  bib2html_pubtype         = {Refereed Workshop Paper},
  bib2html_rescat          = {Optimizing the Execution of Symbolic Robot Plans},
  file                     = {ICAPS-WS-2005-Stulp-Beetz.pdf:http\://www9.in.tum.de/publications/2005/ICAPS-WS-2005-Stulp-Beetz.pdf:PDF},
  url                      = {http://ic.arc.nasa.gov/people/sailesh/icaps2005wksp/}
}