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职业迁徙
个人简介
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.
Research Interests:
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.
Awards, Honors, and Distinctions:
NSF CAREER Award. National Science Foundation. 2013
Siebel Scholar Fellowship. Siebel Foundation. 2007
Publications
Hauser, K, Fast interpolation and time-optimization with contact, International Journal of Robotics Research, vol 33 no. 9 (2014), pp. 1231-1250 [10.1177/0278364914527855] [abs].
Luo, J; Zhang, Y; Hauser, K; Park, HA; Paldhe, M; Lee, CSG; Grey, M; Stilman, M; Oh, JH; Lee, J; Kim, I; Oh, P, Robust Ladder-Climbing with a Humanoid Robot with Application to the DARPA Robotics Challenge, IEEE Intl. Conf. on Robotics and Automation (2014) [abs].
Hauser, K, The minimum constraint removal problem with three robotics applications, International Journal of Robotics Research, vol 33 no. 1 (2014), pp. 5-17 [10.1177/0278364913507795] [abs].
Hauser, K, Robust Contact Generation for Robot Simulation with Unstructured Meshes, Intl. Symposium on Robotics Research (2013) [abs].
Hauser, K, Minimum Constraint Displacement Motion Planning, Robotics: Science and Systems (2013) [abs].
Bennett, CC; Hauser, K, Artificial Intelligence Framework for Simulating Clinical Decision-Making: A Markov Decision Process Approach, Artificial Intelligence in Medicine, vol 57 (2013), pp. 9-19 [abs].
研究兴趣
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ICRApp.12583-12589, (2023)
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