Intelligence and Mobility Synthesis

The intelligence and mobility synthesis faculty are pursuing research in different aspects of robotics and autonomy, ranging from human-robot interaction, autonomous vehicles, origami robots, and wearable robots to machine learning and artificial intelligence. We develop quantitative models of human-robot trust and human decision-making bias under risk and corresponding trust- and regret-based robot control, motion planning and decision-making algorithms that provide guaranteed performance (safety and efficiency) for the joint system and human satisfaction and trust in robots and hence better collaboration.

Energy Efficient Driving With Connected and Automated Vehicles (Vahidi)

Human-Robot Collaboration Systems (Wagner)

Design of Human-Machine Interfaces (Wang)