Toward Robots that Understand People and their Environment

26 Oct
Wednesday, 10/26/2016 4:00pm to 5:00pm
Computer Science Building, Room 150/151
Distinguished Lecturer Series
Speaker: Dieter Fox

To interact and collaborate with people in a natural way, robots must be able to recognize objects in their environments, accurately track the  motion of humans, and estimate their goals and intentions.  The last years have seen dramatic improvements in robotic capabilities to model, detect, and track non-rigid objects such as human bodies, hands, and their own manipulators.  These recent developments can serve as the basis for providing robots with an unprecedented understanding of their environment and the people therein. I will use examples from our research on modeling, detecting, and tracking 3D scenes and articulated objects to highlight  some of these advances and discuss open problems that still need to be addressed.

A reception will be held at 3:40 p.m. in the atrium, outside the presentation room.

Faculty Host