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dc.contributor.authorHauser, Kris
dc.descriptionPresented on September 28, 2016 at 12:00 p.m. in the Technology Square Research Building (TSRB), Auditoriumen_US
dc.descriptionKris 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.en_US
dc.descriptionRuntime: 61:31 minutesen_US
dc.description.abstractThe 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.en_US
dc.format.extent00:00 minutes
dc.format.extent61:31 minutes
dc.relation.ispartofseriesIRIM Seminar Seriesen_US
dc.subjectMathematical paradigmsen_US
dc.subjectMotion planningen_US
dc.titleBeyond Geometric Path Planning: Paradigms and Algorithms for Modern Roboticsen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Institute for Robotics and Intelligent Machineen_US
dc.contributor.corporatenameDuke University. Department of Electrical and Computer Engineeringen_US
dc.contributor.corporatenameDuke University. Pratt School of Engineeringen_US
dc.contributor.corporatenameDuke University. Department of Mechanical Engineering and Materials Scienceen_US

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  • IRIM Seminar Series [110]
    Each semester a core seminar series is announced featuring guest speakers from around the world and from varying backgrounds in robotics.

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