@COMMENT This file was generated by bib2html.pl <http://www.cs.cmu.edu/~pfr/misc_software/index.html#bib2html> version 0.90
@COMMENT written by Patrick Riley <http://www.cs.cmu.edu/~pfr>
@COMMENT This file came from Peter Stone's publication pages at
@COMMENT http://www.cs.utexas.edu/~pstone/papers
@InProceedings{IROS18-hart,
  author = {Justin W. Hart and Rishi Shah and Sean Kirmani and Nick Walker and Kathryn Baldauf and Nathan John and Peter Stone},
  title = {PRISM:  Pose  Registration  for  Integrated  Semantic  Mapping},
  booktitle = {Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  location = {Madrid, Spain},
  month = {October},
  year = {2018},
  abstract = {
Many robotics applications involve navigating to positions specified in terms of
their semantic significance. A robot operating in a hotel may need to deliver
room service to a named room. In a hospital, it may need to deliver medication
to a patient's room. The Building-Wide Intelligence Project at UT Austin has
been developing a fleet of autonomous mobile robots, called BWIBots, which
perform tasks in the computer science department. Tasks include guiding a
person, delivering a message, or bringing an object to a location such as an
office, lecture hall, or classroom. The process of constructing a map that a
robot can use for navigation has been simplified by modern SLAM algorithms. The
attachment of semantics to map data, however, remains a tedious manual process
of labeling locations in otherwise automatically generated maps. This paper
introduces a system called PRISM to automate a step in this process by enabling
a robot to localize door signs -- a semantic markup intended to aid the human
occupants of a building -- and to annotate these locations in its map.
  },
}