Daniel Lee, Artificial Intelligence and Autonomous Systems

March 15, 2017

Autonomous, or self-driving, vehicles appear to be around the corner, promising safe and efficient transportation for everyone regardless of their ability to drive. This would provide independence for aging or disabled individuals, and could relieve congestion and land use in urban centers. How are these autonomous systems designed, and what provides the intelligence or “brains” for these machines?

Prof. Lee’s research focuses on giving machines the ability to learn from experience and to process large amounts of data from sensors and communications. Daniel Lee is the UPS Foundation Chair Professor in Transportation for the Electrical and Systems Engineering Department in SEAS. He serves as Director of the General Robotics, Automation, Sensing and Perception (GRASP) Laboratory. He joined the Penn faculty in 2001 coming from the Theoretical Physics and Biological Computation departments at Bell Labs. 

The lecture will be held from 12:00-1:30 p.m. in the Hourglass Room in the University Club in the Inn at Penn. Lunch is available for a modest cost.