Dan Stronger

Personal Information

• I am a seventh year Ph.D. student in the Department of Computer Sciences at The University of Texas at Austin
• My advisor is Peter Stone.
• I am planning on graduating this summer, and I am applying to research positions to start next fall: CV

Research

• My research is primarily in the area of developmental robotics. I am also interested in machine learning and robot vision.
• My dissertation demonstrates how a mobile robot's action and sensor models can be autonomously learned starting without an accurate estimate of either model. Details are in the following paper: (PDF)

Publications

Journal Article

• Daniel Stronger and Peter Stone. Towards Autonomous Sensor and Actuator Model Induction on a Mobile Robot. Connection Science, 18(2): pp. 97-119, June 2006. Special Issue on Developmental Robotics. (PDF)

• Peter Stone, Mohan Sridharan, Daniel Stronger, Gregory Kuhlmann, Nate Kohl, Peggy Fidelman, and Nicholas K. Jong. From Pixels to Multi-Robot Decision-Making: A Study in Uncertainty. Robotics and Autonomous Systems, 54(11): pp. 933-943, November 2006. Special issue on Planning Under Uncertainty in Robotics. (PDF)

• Daniel Stronger and Peter Stone. Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents. International Journal on Artificial Intelligence Tools, 17(2), April 2008. (PDF) Previous version of paper appeared in International Conference on Tools with Artificial Intelligence, November 2006. BEST PAPER AWARD NOMINEE.

Book Chapter

• Uli Grasemann, Daniel Stronger and Peter Stone. A Neural-Network Based Approach to Robot Joint Control. In Ubbo Visser, Fernando Ribeiro, Takeshi Ohashi, and Frank Dellaert, editors, RoboCup-2007: Robot Soccer World Cup XI, Springer Verlag, Berlin, 2008. To appear. (PDF)

• Daniel Stronger and Peter Stone. Selective Visual Attention for Object Detection on a Legged Robot. In Gerhard Lakemeyer, Elizabeth Sklar, Domenico Sorenti, and Tomoichi Takahashi, editors, RoboCup-2006: Robot Soccer World Cup X, Springer Verlag, Berlin, 2007. To appear. (PDF)

• Daniel Stronger and Peter Stone. A Model-Based Approach to Robot Joint Control. In Daniele Nardi, Martin Riedmiller, and Claude Sammut, editors, RoboCup-2004: Robot Soccer World Cup VIII, pp. 297-309, Springer Verlag, Berlin, 2005. (PDF)

Refereed Conference

• Daniel Stronger and Peter Stone. Maximum Likelihood Estimation of Sensor and Action Model Functions on a Mobile Robot. In IEEE International Conference on Robotics and Automation, May 2008. (PDF)

• Daniel Stronger and Peter Stone. A Comparison of Two Approaches for Vision and Self-Localization on a Mobile Robot. In IEEE International Conference on Robotics and Automation, April 2007. (PDF)

• Daniel Stronger and Peter Stone. Simultaneous Calibration of Action and Sensor Models on a Mobile Robot. In IEEE International Conference on Robotics and Automation, April 2005. (PDF)

Technical Report

• Peter Stone, Kurt Dresner, Peggy Fidelman, Nate Kohl, Gregory Kuhlmann, Mohan Sridharan, and Daniel Stronger. The UT Austin Villa 2005 RoboCup Four-Legged Team. Technical Report UT-AI-TR-05-325, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2005. (PDF)

• Peter Stone, Kurt Dresner, Peggy Fidelman, Nicholas K. Jong, Nate Kohl, Gregory Kuhlmann, Mohan Sridharan, and Daniel Stronger. The UT Austin Villa 2004 RoboCup Four-Legged Team: Coming of Age. Technical Report UT-AI-TR-04-313, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory, 2004. (PDF)

• Peter Stone, Kurt Dresner, Selim T. Erdogan, Peggy Fidelman, Nicholas K. Jong, Nate Kohl, Gregory Kuhlmann, Ellie Lin, Mohan Sridharan, Daniel Stronger, and Gurushyam Hariharan. The UT Austin Villa 2003 Four-Legged Team. In Daniel Polani, Brett Browning, Andrea Bonarini, and Kazuo Yoshida, editors, RoboCup-2003: Robot Soccer World Cup VII, Springer Verlag, Berlin, 2004. (PDF, Extended Version)