Duke University’s Kris Hauser presents a seminar as part of the IRIM Robotics Seminar Series. The event will be held in the TSRB Banquet Hall from 12-1 p.m. and is open to the public.
The development of algorithms to quickly compute collision-free paths for high dimensional systems was a major achievement in the field of motion planning in the 2000s. Despite this progress, recent advances in affordable robot sensors, actuators, and systems have changed the robotics playing field, making many of the assumptions of geometric path planning obsolete. This talk will present new mathematical paradigms and algorithms that are beginning to address some of the issues faced in robotics today, as well as those that are likely to be faced in the future. Specific issues identified in this talk include optimality, real-time performance, interpretability, problems involving contact, and integration with perception and learning.
Kris Hauser is an associate professor in 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 bachelor’s degree in computer science and mathematics from UC Berkeley in 2003, his Ph.D. in computer science from Stanford University in 2008, and then worked as a postdoctoral fellow at UC Berkeley. Hauser was a member of the Indiana University faculty 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.