#233: Geometric Methods in Computer Vision, with Kostas Daniilidis April 30, 2017

from Robohub Podcast· ·

Kostas Daniilidis discusses research into understanding 3D structure from 2D images for robotic manipulation.



Transcript Below.

In 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’ 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’ ability to understand and manipulate objects in their environment. Daniilidis 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 “real world”. How does bleeding edge research become a viable product? Daniilidis speaks to this from personal experience, as an advisor to startups spun out from the GRASP Lab and Penn’s Pennovation incubator. (more…)