Faculty Candidate Seminar|
Learning Robot Manipulation Skills through Experience and Generalization
University of Southern California
Thursday, February 09, 2017|
4:00pm - 5:00pm
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About the Event
In the future, robots could be used to take care of the elderly, perform household chores, and assist in hazardous situations. However, such applications require robots to manipulate objects in unstructured and everyday environments. Hence, in order to perform a wide range of tasks, robots will need to learn manipulation skills that generalize between different scenarios and objects.
Oliver Kroemer is a postdoctoral researcher at the University of Southern California (USC), working together with Gaurav S. Sukhatme in the Robotic Embedded Systems Lab (RESL). His research interests are in machine learning and robotics, with a focus on learning grasping and manipulation skills. He received his Masters and Bachelors degrees in engineering from the University of Cambridge in 2008. He was a Ph.D. student at the Max Planck Institute for Intelligent Systems from 2009 to 2011. In 2014, Oliver defended his Ph.D. thesis at the Technische Universitaet Darmstadt. He was a finalist for the 2015 Georges Giralt Ph.D. Award for the best robotics Ph.D. thesis in Europe. In 2015, he first worked as a postdoctoral researcher at TU Darmstadt before starting his current position at USC.
Open to: Public