Patrick Beeson
Intelligent Robotics Lab: Ph.D. Alumni
Learning Agents Lab: Postdoctoral Alumni
Patrick is interested in the intersection of AI and robotics. This includes human-robot interaction, cognitive models for robotic navigation, and developmental robotics. He is currently working on a sensor-to-symbol cognitive architecture, which will enable modular robotic platforms to be used in a variety of domains with minimal software changes.
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Towards a Safe, Low-Cost, Intelligent Wheelchair 2009
Aniket Murarka, Shilpa Gulati, Patrick Beeson, and Benjamin Kuipers, In Workshop on Planning, Perception and Navigation for Intelligent Vehicles (PPNIV) 2009.
Creating and Utilizing Symbolic Representations of Spatial Knowledge using Mobile Robots 2008
Patrick Beeson, PhD Thesis, Computer Sciences Department, The University of Texas at Austin.
Multiagent Interactions in Urban Driving 2008
Patrick Beeson, Jack O'Quin, Bartley Gillan, Tarun Nimmagadda, Mickey Ristroph, David Li, and Peter Stone, Journal of Physical Agents, Vol. 2, 1 (2008), pp. 15-30. Special issue on Multi-Robot Systems.
DARPA Urban Challenge Technical Report: Austin Robot Technology 2007
Peter Stone, Patrick Beeson, Tekin Mericli, and Ryan Madigan, Available from http://www.darpa.mil/grandchallenge/rules.asp.
Integrating Multiple Representations of Spatial Knowledge for Mapping, Navigation, and Communication 2007
Patrick Beeson, Matt MacMahon, Joseph Modayil, Aniket Murarka, Benjamin Kuipers, and Brian Stankiewicz, In AAAI Spring Symposium Series, Interaction Challenges for Intelligent Assistants 2007. AAAI Technical Report SS-07-04.
Adapting proposal distributions for accurate, efficient mobile robot localization 2006
Patrick Beeson, Aniket Murarka, and Benjamin Kuipers, In IEEE International Conference on Robotics and Automaton (ICRA-06) 2006.
Bootstrap Learning of Foundational Representations. 2005
Benjamin Kuipers, Patrick Beeson, Joseph Modayil and Jefferson Provost, In Developmental Robotics, AAAI Spring Symposium Series 2005.
Towards autonomous topological place detection using the Extended Voronoi Graph 2005
Patrick Beeson, Nicholas K. Jong, and Benjamin Kuipers, In IEEE International Conference on Robotics and Automation (ICRA-05) 2005.
Local metrical and global topological maps in the Hybrid Spatial Semantic Hierarchy 2004
Benjamin Kuipers, Joseph Modayil, Patrick Beeson, Matt MacMahon, and Francesco Savelli, In IEEE International Conference on Robotics and Automation (ICRA-04) 2004.
Using the topological skeleton for scalable global metrical map-building 2004
Joseph Modayil, Patrick Beeson and Benjamin Kuipers, In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-04), pp. 1530--1536 2004.
Exploiting local perceptual models for topological map-building 2003
Patrick Beeson, Matt MacMahon, Joseph Modayil, Jefferson Provost, Francesco Savelli and Benjamin Kuipers, In IJCAI-2003 Workshop on Reasoning with Uncertainty in Robotics (RUR-03) 2003.
Bootstrap learning for place recognition 2002
Benjamin Kuipers and Patrick Beeson, In Proceedings of the Eighteenth National Conference on Artificial Intelligence (AAAI-02) 2002.
Learning from uninterpreted experience in the SSH 2001
Benjamin Kuipers, Patrick Beeson, Joseph Modayil and Jefferson Provost, In AAAI Spring Symposium Series, Learning Grounded Representations, Stanford, CA 2001.
Toward bootstrap learning for place recognition 2001
Benjamin Kuipers and Patrick Beeson, AAAI Technical Report FS-01-01, ISBN 1-57735-135-5
Toward Learning the Causal Layer of the Spatial Semantic Hierarchy using SOMs 2001
Jefferson Provost, Patrick Beeson, and Benjamin J. Kuipers, In AAAI Spring Symposium Series, Learning Grounded Representations 2001.
Formerly affiliated with Intelligent Robotics Formerly affiliated with Learning Agents