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Contact Information: North Building 135, 134 Research Dr, Durham, NC 27708.  Ph: (919) 660-5441.
Email kris.hauser (at)

Associate Professor

Department of Electrical and Computer Engineering

Department of Mechanical Engineering and Materials Science

Pratt School of Engineering

Duke University


Kris Hauser is an Associate Professor at the Pratt School of Engineering at Duke University with a joint appointment in the Electrical and Computer Engineering Department and the Mechanical Engineering and Materials Science Department. He received his PhD in Computer Science from Stanford University in 2008, bachelor's degrees in Computer Science and Mathematics from UC Berkeley in 2003, and worked as a postdoctoral fellow at UC Berkeley. He then joined the faculty at Indiana University from 2009-2014, where he started the Intelligent Motion Lab. He is a recipient of a Stanford Graduate Fellowship, Siebel Scholar Fellowship, and the NSF CAREER award.

In Fall 2019, I will be moving to the Computer Science department at UIUC.

Duke ECE Website...



Research interests include robot motion planning and control, semiautonomous robots, and integrating perception and planning, as well as applications to intelligent vehicles, robotic manipulation, robot-assisted medicine, and legged locomotion. More...

Selected Teaching

Fall 2016. ECE 383 / MEMS 442: Intro to Robotics and Automation
Srping 2016. ECE 490 / MEMS 555: Advanced Robot System Design
Fall 2015. ECE 383 / MEMS 442: Intro to Robotics and Automation
Spring 2015. ECE 590: Intelligent Robot Motion
Spring 2014. I400/I590/B659: Intelligent Robots
Fall 2013: B351 Introduction to Artificial Intelligence and Computer Simulation
Spring 2012: B553 Optimization and Learning Algorithms

Selected Publications

  • K. Hauser. Semi-Infinite Programming for Trajectory Optimization with Nonconvex Obstacles. Workshop on the Algorithmic Foundations of Robotics (WAFR), December 2018. pdf
  • K. Hauser, S. Wang, and M. Cutkosky. Efficient Equilibrium Testing under Adhesion and Anisotropy using Empirical Contact Force Models. IEEE Transactions on Robotics, July 2018. pdf link
  • K. Hauser. Bayesian Tactile Exploration for Compliant Docking with Uncertain Shapes. Robotics: Science and Systems, June 2018. pdf link
  • K. Hauser and S. Emmons. Global Redundancy Resolution via Continuous Pseudoinversion of the Forward Kinematic Map. IEEE Transactions on Automation Science and Engineering, 15(3): 932 - 944, March 2018. pdf link software
  • F. Wang, G. Chen, and K. Hauser. Robot Button Pressing In Human Environments . IEEE Intl Conf. on Robotics and Automation (ICRA), 2018. pdf ICRA video
  • M. Draelos, B. Keller, G. Tang, A. Kuo, K. Hauser, and J. Izatt.Real-Time Image-Guided Cooperative Robotic Assist Device for Deep Anterior Lamellar Keratoplasty . IEEE Intl Conf. on Robotics and Automation (ICRA), 2018. pdf ICRA video
  • S. Wang and K. Hauser. Realization of a Real-time Optimal Control Strategy to Stabilize a Falling Humanoid with Hand Contact . IEEE Intl Conf. on Robotics and Automation (ICRA), 2018. pdf ICRA video
  • W. Zhang and K. Hauser. Single-Image Footstep Prediction for Versatile Legged Locomotion . IEEE Intl Conf. on Robotics and Automation (ICRA), 2018. pdf ICRA video
  • K. Hauser and Y. Zhou. Asymptotically Optimal Planning by Feasible Kinodynamic Planning in State-Cost Space. IEEE Transactions of Robotics, 32(6): 1431-1443, 2016. pdf link Also in arXiv:1505.04098 [cs.RO], 2015. pdflinklink
  • O. Ramos and K. Hauser. Generalizations of the Capture Point to Nonlinear Center of Mass Paths and Uneven Terrain. IEEE-RAS Int'l Conference on Humanoid Robots, November, 2015. Best Paper Awardpdflink
  • K. Hauser. The Minimum Constraint Removal Problem with Three Robotics Applications. International Journal of Robotics Research, 33(1):5-17, January, 2014. doi: 10.1177/0278364913507795 pdf pdf software
  • K. Hauser. Robust Contact Generation for Robot Simulation with Unstructured Meshes. International Symposium on Robotics Research, 2013. pdf link
  • K. Hauser. Fast Interpolation and Time-Optimization on Implicit Contact Submanifolds. In proceedings of Robotics: Science and Systems (RSS), Berlin, Germany, June 2013. pdf software
  • 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. pdf link


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