ep.233: Geometric Methods in Computer Vision, with Kostas Daniilidis

Published: April 30, 2017, 7 a.m.

b'Transcript Below.\\n\\nIn this episode, Jack Rasiel speaks with Kostas Daniilidis, Professor of Computer and Information at the University of Pennsylvania, about new developments in computer vision and robotics. Daniilidis\\u2019 research team is pioneering new approaches to understanding the 3D structure of the world from simple and ubiquitous 2D images. They are also investigating how these techniques can be used to improve robots\\u2019 ability to understand and manipulate objects in their environment.\\xa0Daniilidis puts this in the context of current trends in robot learning and perception, and speculates how it will help bring more robots from the lab to the \\u201creal world\\u201d. \\xa0How does bleeding edge research become a viable product?\\xa0Daniilidis speaks to this from personal experience, as an advisor to startups spun out from the GRASP Lab and Penn\\u2019s Pennovation incubator.'