@inproceedings {Goebelbecke-etal-PAMR:2011,
	bibtex_date = {2011-08-07},
	booktitle = {Proceedings of the AAAI-11 Workshop on Automated Action Planning for
                  Autonomous Mobile Robots (PAMR)},
	url = {http://www.informatik.uni-freiburg.de/~ki/papers/goebelbecker-etal-pamr2011.pdf},
	abstract = {In this paper we present a principled planner based
                  approach to the active visual object search problem
                  in unknown environments. We make use of a
                  hierarchical planner that combines the strength of
                  decision theory and heuristics. Furthermore, our
                  object search approach leverages on the conceptual
                  spatial knowledge in the form of object
                  co-occurrences and semantic place categorisation. A
                  hierarchical model for representing object locations
                  is presented with which the planner is able to
                  perform indirect search. Finally we present real
                  world experiments to show the feasibility of the
                  approach.  },
	year = {2011},
	author = {Moritz G\"obelbecker and Alper Aydemir and Andrzej Pronobis and Kristoffer Sj\"o\"o and Patric Jensfelt},
	title = {A Planning Approach to Active Visual Search in Large Environments},
	bibtex_age = {-1}
}