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Assistant Professor Department of Computer Science and Informatics Indiana University at Bloomington Bio Kris Hauser received his PhD in Computer Science from Stanford University in 2008, advised by Jean-Claude Latombe, and received bachelor's degrees in Computer Science and Mathematics from UC Berkeley in 2003. He also worked as a postdoctoral fellow at UC Berkeley, in the Automation Lab under Ken Goldberg. He has held his current position as Assistant Professor of Computer Science at Indiana University since August 2009. More... Research Research interests include robot motion planning and control, semiautonomous robots, and integrating perception and planning. Past applications of this research have included automated vehicle collision avoidance, robotic manipulation, robot-assisted medicine, and legged locomotion. More... Teaching
Spring 2013: B659 Principles of Intelligent Robot Motion |
Selected Publications
K. Hauser. Minimum Constraint Displacement Motion Planning. In proceedings of Robotics: Science and Systems (RSS), Berlin, Germany, June 2013.
K. Hauser. Fast Interpolation and Time-Optimization on Implicit Contact Submanifolds. In proceedings of Robotics: Science and Systems (RSS), Berlin, Germany, June 2013.
C. Bennett and K. Hauser. Artificial Intelligence Framework for Simulating Clinical Decision-Making: A Markov Decision Process Approach. In Artificial Intelligence in Medicine, 57(1):9-19, January 2013. doi: 10.1016/j.artmed.2012.12.003.
K. Hauser. Recognition, Prediction, and Planning for Assisted Teleoperation with Freeform Tasks. In Robotics: Science and Systems (RSS), Sydney, Australia, July 2012.
K. Hauser. The Minimum Constraint Removal Problem with Three Robotics Applications. In Workshop on the Algorithmic Foundations of Robotics (WAFR), Boston, June 2012.
Y. Zhang, J. Luo, and K. Hauser. Sampling-based Motion Planning With Dynamic Intermediate State Objectives: Application to Throwing. IEEE Int'l Conference on Robotics and Automation (ICRA), Minneapolis, May 2012.
J. Luo and K. Hauser. Interactive Generation of Dynamically Feasible Robot Trajectories from Sketches Using Temporal Mimicking. IEEE Int'l Conference on Robotics and Automation (ICRA), Minneapolis, May 2012.
J. Johnson and K. Hauser. Optimal Acceleration-Bounded Trajectory Planning in Dynamic Environments Along a Specified Path. IEEE Int'l Conference on Robotics and Automation (ICRA), Minneapolis, May 2012.
K. Hauser. On Responsiveness, Safety, and Completeness in Real-Time Motion Planning. Autonomous Robots, 32(1):35-48, 2012.
E. You and K. Hauser. Assisted Teleoperation Strategies for Aggressively Controlling a Robot Arm with 2D Input. In Robotics: Science and Systems, Los Angeles, July 2011.
K. Hauser and V. Ng-Thow-Hing. Randomized Multi-Modal Motion Planning for a Humanoid Robot Manipulation Task. International Journal of Robotics Research, 30(6):678-698, 2011. doi: 10.1177/0278364910386985.
K. Hauser. Randomized Belief-Space Replanning in Partially-Observable Continuous Spaces. In Workshop on the Algorithmic Foundations of Robotics, Singapore, Dec. 2010.
K. Hauser, R. Alterovitz, N. Chentanez, A. Okamura, and K. Goldberg, Feedback Control for Steering Needles Through 3D Deformable Tissue Using Helical Paths. In Robotics: Science and Systems, Seattle, WA, 2009.
B. Morisset, R.B. Rusu, A. Sundaresan, K. Hauser, M. Agrawal, J.-C. Latombe, and M. Beetz, Leaving Flatland. Toward Real-Time 3D Navigation. In proceedings of IEEE Intl. Conf. of Robotics and Automation (ICRA), 2009.
Example video (wmv, 1.7mb)
K. Hauser, Motion Planning for Legged and Humanoid Robots. Ph.D. Thesis, Stanford University, September 2008.
(8.9mb, single sided)