Interactive Autonomy - A Human-Centered Approach for Safe Interactions
Explore the cutting-edge field of interactive autonomy in this Stanford University seminar. Delve into algorithms for autonomous systems that influence and interact with humans, focusing on safety, efficiency, coordination, and estimation. Learn about efficient active learning methods for building predictive models of human preferences and their applications in human-robot interactions. Discover how these concepts apply to semi-autonomous vehicles, medical robots, and service robots in smart homes. Gain insights from Dr. Dorsa Sadigh, an assistant professor in Computer Science and Electrical Engineering at Stanford University, as she shares her research at the intersection of robotics, learning and control theory, and algorithmic human-robot interaction.