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

Associate Professor

Department of Electrical and Computer Engineering

Department of Mechanical Engineering and Materials Science

Pratt School of Engineering

Duke University

Bio

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.

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Research

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. Continuous Pseudoinversion of a Multivariate Function: Application to Global Redundancy Resolution. Workshop on the Algorithmic Foundations of Robotics (WAFR), 2016. Best Paper Award nominee. linkpdf
  • K. Hauser. Learning the Problem-Optimum Map: Analysis and Application to Global Optimization in Robotics. In IEEE Transactions on Robotics, PP(99)1-12. Also in arXiv:1605.04636 [cs.RO], 2016 link pdf link software
  • 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
  • A. Rocchi, B. Ames, J. Li, and K. Hauser. Stable Simulation of Underactuated Compliant Hands. IEEE Int'l. Conf. on Robotics and Automation (ICRA), 2016. pdf
  • N. Correll, K. E. Bekris, D. Berenson, O. Brock, A. Causo, K. Hauser, K. Okada, A. Rodriguez, J. M. Romano, P. R. Wurman. Lessons from the Amazon Picking Challenge. To appear in IEEE Transactions on Automation Science and Engineering. Also in arXiv:1601.05484 [cs.RO], 2016. pdflink
  • 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
  • J. Luo and K. Hauser. Robust Trajectory Optimization Under Frictional Contact with Iterative Learning. Robotics: Science and Systems (RSS), July 2015. pdf
  • K. Hauser. Lazy Collision Checking in Asymptotically-Optimal Motion Planning. IEEE Intl. Conference on Robotics and Automation (ICRA), May 2015. pdf
  • 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. Recognition, Prediction, and Planning for Assisted Teleoperation with Freeform Tasks. Autonomous Robots, 35(4): 241-254, August, 2013. doi:10.1007/s10514-013-9350-3. link pdf
  • K. Hauser. Minimum Constraint Displacement Motion Planning. In proceedings of Robotics: Science and Systems (RSS), Berlin, Germany, June 2013. pdf
  • 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
  • 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. pdf link
  • K. Hauser. On Responsiveness, Safety, and Completeness in Real-Time Motion Planning. Autonomous Robots, 32(1):35-48, 2012. pdf link
  • 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. pdf link
  • 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. pdf link

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