Education - Colloquium
Tuesday, February 12, 2013
9:00 AM-10:00 AM
Price Conference Room, HL102
Dr. Dan Grollman
Robots are slowly becoming a commodity item. No longer restricted to heavily engineered, industrial settings, they are migrating into everyday locations, and interacting with everyday people. But as the amount of previous training that can be expected of the end-user decreases, it is vital that all aspects of the robot become easier to operate and adapt to new and unanticipated environments and uses. In this talk I will review some of my work in robot learning from demonstration, which aims at letting users implicitly program a robot to perform a desired task, even if they cannot explicitly describe the task, or even perform it perfectly themselves. Placed in a larger context, I will discuss ideas and needed research for incorporating these techniques into commercial robots, such that they can continually and autonomously improve themselves and their working relationships with humans during operation.
Bio: Dan Grollman is a Robot Doctor at Vecna technologies. He completed his Ph.D. in Computer Science at Brown University in 2009, and did his postdoctoral work at the Ecole Polytechnique Federale de Lausanne until 2011. Recognized as a "Young Pioneer" in Human-Robot Interaction in 2007/2008, Dan's work in learning from failure won him and his advisor Aude Billard a "Best Cognitive Robotics" paper at ICRA 2011. At Vecna, Dan leads the Robotics Usability group, focused on improving the ease with which humans and robots can work together.
Suggested Audiences: College
Last Modified: February 6, 2013 at 1:14 PM