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Optimized Execution of Action Chains through Subgoal Refinement (bibtex)
  title = {Optimized Execution of Action Chains through Subgoal Refinement},
  year = {2005},
  author = {Stulp, Freek and Beetz, Michael},
  note = {{ICAPS} Workshop {“Plan} Execution: A Reality Check”},
  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.},
  url = {}
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Last edited 29.01.2013 17:37 by Quirin Lohr