This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom.

ABSTRACT

We, as robot engineers, have to think hard about our role in the design of robots and how it interacts with learning, both in “the factory” (that is, at engineering time) and in “the wild” (that is, when the robot is delivered to a customer). I will share some general thoughts about strategies for robot software design that combine machine learning with insights from natural intelligence and from classical engineering design. I will describe several research projects, both in the design of an overall architecture for an intelligent robot and in strategies for learning to integrate new skills into the repertoire of an already competent robot.