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George Konidaris
George Konidaris
Signal to Symbol (via Skills)
Signal to Symbol (via Skills)
I will address the question of how a robot should learn an abstract, task-specific representation of an environment. I will present a constructivist approach, where the computation the representation is required to support - here, planning using a given set of motor skills - is precisely defined, and then its properties are used to build the representation so that it is capable of doing so by construction. The result is a formal link between the skills available to a robot and the symbols it should use to plan with them. I will present an example of a robot autonomously learning a (sound and complete) abstract representation directly from sensorimotor data, and then using it to plan. I will also discuss ongoing work on making the resulting abstractions portable across tasks.
Biography
Biography
George Konidaris is the John E. Savage Assistant Professor of Computer Science at Brown and the Chief Roboticist of Realtime Robotics, a startup commercializing his work on hardware-accelerated motion planning. He holds a BScHons from the University of the Witwatersrand, an MSc from the University of Edinburgh, and a PhD from the University of Massachusetts Amherst. Prior to joining Brown, he held a faculty position at Duke and was a postdoctoral researcher at MIT. George is the recent recipient of an NSF CAREER award, young faculty awards from DARPA and the AFOSR, and the IJCAI-JAIR Best Paper Prize.
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