Mohan Sridharan
Ph.D. Alumni
Mohan's Ph.D. dissertation focused on enabling a mobile robot to autonomously plan its actions to learn models of color distributions in its world, and to use the learned models to detect and adapt to illumination changes. His post-doctoral work on using hierarchical POMDPs for visual processing management won a distinguished paper award at ICAPS-08. His current research interests include robot vision, probabilistic planning, statistical learning and multiagent systems.
Homepage:
http://www.cs.ttu.edu/~smohan/
Publications
     [Expand to show all 22][Minimize]
A Survey of Ad Hoc Teamwork Research 2022
Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Eliott Fosong, William Macke, Mohan Sridharan, Peter Stone, and Stefano Albrecht, In The 19th European Conference on Multi-Agent Systems (EUMAS), Dusseldorf, Germany, September 2022.
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.
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.
Color Learning and Illumination Invariance on Mobile Robots: A Survey 2009
Mohan Sridharan and Peter Stone, Robotics and Autonomous Systems (RAS) Journal, Vol. 57, 60-7 (2009), pp. 629-44.
Sub-ice exploration of West Lake Bonney: ENDURANCE 2008 Mission 2009
Bill Stone, Bart Hogan, Chris Flesher, Shilpa Gulati, Kristof Richmond, Aniket Murarka, Gregory Kuhlmann, and Mohan Sridharan, In International Symposium on Unmanned Untethered Submersible Technology (UUST) 2009.
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.
Vision based frozen surface egress: A docking algorithm for the ENDURANCE AUV 2009
Aniket Murarka, Gregory Kuhlmann, Shilpa Gulati, Mohan Sridharan, Chris Flesher, and Bill Stone, In International Symposium on Unmanned Untethered Submersible Technology (UUST) 2009.
Detecting obstacles and drop-offs using stereo and motion cues for safe local motion 2008
Aniket Murarka, Mohan Sridharan and Benjamin Kuipers, In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-08) 2008.
Action Selection for Illumination Invariant Color Learning 2007
Mohan Sridharan and Peter Stone, In The IEEE International Conference on Intelligent Robots and Systems (IROS) 2007.
Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination 2007
Mohan Sridharan and Peter Stone, In The 20th International Joint Conference on Artificial Intelligence, pp. 2212-2217, January 2007.
Planning Actions to Enable Color Learning on a Mobile Robot 2007
Mohan Sridharan and Peter Stone, International Journal of Information and Systems Sciences, Vol. 3, 3 (2007), pp. 510-25.
Structure Based Color Learning on a Mobile Robot under Changing Illumination 2007
Mohan Sridharan and Peter Stone, Autonomous Robots, Vol. 23, 3 (2007), pp. 161-182.
Autonomous Planned Color Learning on a Mobile Robot Without Labeled Data 2006
Mohan Sridharan and Peter Stone, In The Ninth International Conference on Control, Automation, Robotics and Vision, December 2006.
From Pixels to Multi-Robot Decision-Making: A Study in Uncertainty 2006
Peter Stone, Mohan Sridharan, Daniel Stronger, Gregory Kuhlmann, Nate Kohl, Peggy Fidelman, and Nicholas K. Jong, Robotics and Autonomous Systems, Vol. 54, 11 (2006), pp. 933-43. Special issue on Planning Under Uncertainty in Robotics..
The UT Austin Villa 2006 RoboCup Four-Legged Team 2006
Peter Stone, Peggy Fidelman, Nate Kohl, Gregory Kuhlmann, Tekin Mericli, Mohan Sridharan, and Shao-en Yu, Technical Report UT-AI-TR-06-337, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory.
Autonomous Color Learning on a Mobile Robot 2005
Mohan Sridharan and Peter Stone, In Proceedings of the Twentieth National Conference on Artificial Intelligence, July 2005.
Practical Vision-Based Monte Carlo Localization on a Legged Robot 2005
Mohan Sridharan, Gregory Kuhlmann, and Peter Stone, In IEEE International Conference on Robotics and Automation, April 2005.
Real-Time Vision on a Mobile Robot Platform 2005
Mohan Sridharan and Peter Stone, In IEEE/RSJ International Conference on Intelligent Robots and Systems, August 2005.
The UT Austin Villa 2005 RoboCup Four-Legged Team 2005
Peter Stone, Kurt Dresner, Peggy Fidelman, Nate Kohl, Gregory Kuhlmann, Mohan Sridharan, and Daniel Stronger, Technical Report UT-AI-TR-05-325, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory.
Towards Illumination Invariance in the Legged League 2005
Mohan Sridharan and Peter Stone, In RoboCup-2004: Robot Soccer World Cup VIII, Daniele Nardi and Martin Riedmiller and Claude Sammut (Eds.), Vol. 3276, pp. 196-208, Berlin 2005. Springer Verlag.
The UT Austin Villa 2003 Four-Legged Team 2004
Peter Stone, Kurt Dresner, Selim T. Erdougan, Peggy Fidelman, Nicholas K. Jong, Nate Kohl, Gregory Kuhlmann, Ellie Lin, Mohan Sridharan, Daniel Stronger, and Gurushyam Hariharan, In RoboCup-2003: Robot Soccer World Cup VII, Daniel Polani and Brett Browning and Andrea Bonarini and Kazuo Yoshida (Eds.), Berlin 2004. Springer Verlag.
The UT Austin Villa 2004 RoboCup Four-Legged Team: Coming of Age 2004
Peter Stone, Kurt Dresner, Peggy Fidelman, Nicholas K. Jong, Nate Kohl, Gregory Kuhlmann, Mohan Sridharan, and Daniel Stronger, Technical Report UT-AI-TR-04-313, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory.
Areas of Interest
Robotics
Labs
Formerly affiliated with Learning Agents