@inproceedings{eyerich-helmert:icaps-2013,
   author = "Johannes Löhr and Patrick Eyerich and Stefan Winkler and
                  Bernhard Nebel",
   title = "Domain Predictive Control Under Uncertain Numerical State
                  Information",
   booktitle = "Proceedings of the 23rd International Conference on
                  Automated Planning and Scheduling (ICAPS13)",
   month = "june",
   year = "2013",
   publisher = "AAAI Press",
   abstract =  "In planning, hybrid system states consisting of
                  logical and numerical variables are usually assumed
                  to be completely known. In particular, for numerical
                  state variables full knowledge of their exact values
                  is assumed. However, in real world applications
                  states are results of noisy measurements and
                  imperfect actuators. Therefore, a planned sequence
                  of state transitions might fail to lead a hybrid
                  system to the desired goal. We show how to propagate
                  and reason about uncertain state information
                  directly in the planning process, enabling hybrid
                  systems to find plans that satisfy numerical goals
                  with predefined confidence."
}