Michael Quinlan
Formerly affiliated Research Scientist
Michael researches various aspects of robotic systems, including motion, vision and localization. He currently teaches a class on Autonomous Vehicles and competes as part of the Austin Villa team at RoboCup using the Nao humanoid robots. In his spare time he enjoys basketball, cycling, running and soccer.
Homepage:
http://www.cs.utexas.edu/~mquinlan
Publications
     [Expand to show all 14][Minimize]
Setpoint Scheduling for Autonomous Vehicle Controllers 2012
Tsz-Chiu Au, Michael Quinlan, and Peter Stone, In {IEEE} International Conference on Robotics and Automation (ICRA), May 2012.
Austin Villa 2011: Sharing is Caring: Better Awareness through Information Sharing 2012
Samuel Barrett, Katie Genter, Todd Hester, Piyush Khandelwal, Michael Quinlan, Peter Stone, and Mohan Sridharan, Technical Report, Department of Computer Science, The University of Texas at Austin. Tech Report UT-AI-TR-12-01.
RTMBA: A Real-Time Model-Based Reinforcement Learning Architecture for Robot Control 2012
Todd Hester, Michael Quinlan, and Peter Stone, In {IEEE} International Conference on Robotics and Automation (ICRA), May 2012.
A Real-Time Model-Based Reinforcement Learning Architecture for Robot Control 2011
Todd Hester, Michael Quinlan, and Peter Stone, No other information
Austin Villa 2010 Standard Platform Team Report 2011
Samuel Barrett, Katie Genter, Matthew Hausknecht, Todd Hester, Piyush Khandelwal, Juhyun Lee, Michael Quinlan, Aibo Tian, Peter Stone, and Mohan Sridharan, Technical Report, Department of Computer Science, The University of Texas at Austin. Tech Report UT-AI-TR-11-01.
Bringing Simulation to Life: A Mixed Reality Autonomous Intersection 2010
Michael Quinlan, Tsz-Chiu Au, Jesse Zhu, Nicolae Stiurca, and Peter Stone, In Proceedings of IROS 2010-IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010), October 2010.
Controlled Kicking under Uncertainty 2010
Samuel Barrett, Katie Genter, Todd Hester, Michael Quinlan, and Peter Stone, In The Fifth Workshop on Humanoid Soccer Robots at Humanoids 2010, Nashville, TN 2010.
Generalized Model Learning for Reinforcement Learning on a Humanoid Robot 2010
Todd Hester, Michael Quinlan, and Peter Stone, In International Conference on Robotics and Automation 2010.
MARIOnET: Motion Acquisition for Robots through Iterative Online Evaluative Training 2010
Adam Setapen, Michael Quinlan, and Peter Stone, In Ninth International Conference on Autonomous Agents and Multiagent Systems - Agents Learning Interactively from Human Teachers Workshop (AAMAS - ALIHT), May 2010.
Improving Particle Filter Performance Using SSE Instructions 2009
Peter Djeu, Michael Quinlan, and Peter Stone, In Proceedings of IROS 2009: 2009 IEEE/RSJ International Conference on Intelligent RObots and Systems, October 2009.
Three Humanoid Soccer Platforms: Comparison and Synthesis 2009
Shivaram Kalyanakrishnan, Todd Hester, Michael Quinlan, Yinon Bentor, and Peter Stone, In Proceedings of the RoboCup International Symposium 2009 2009. Springer Verlag.
TT-UT Austin Villa 2009: Naos across Texas 2009
Todd Hester, Michael Quinlan, Peter Stone, and Mohan Sridharan, Technical Report UT-AI-TR-09-08, The University of Texas at Austin, Department of Computer Science, AI Laboratory.
A General Purpose Task Specification Language for Bootstrap Learning 2008
Ian Fasel, Michael Quinlan, and Peter Stone, In AAAI Spring 2009 Symposium on Agents that Learn from Human Teachers, March 2008.
UT Austin Villa 2008: Standing on Two Legs 2008
Todd Hester, Michael Quinlan, and Peter Stone, Technical Report UT-AI-TR-08-8, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory.
Projects
TEXPLORE: Real-Time Sample Efficient Reinforcement Learning 2009 - Present
Autonomous Intersection Management (AIM) 2004 - Present
Areas of Interest
Autonomous Driving Autonomous Traffic Management Humanoid Robots Multi-Robot Systems Real Robot Soccer RoboCup Robot Soccer Robotics
Demos
TEXPLORE: Real-Time Sample Efficient Reinforcement LearningTodd Hester2012
Autonomous Intersection Management (AIM)
Labs
Formerly affiliated with Learning Agents