(1) Creating intelligent machines capable of robustly operating in human environments, and
(2) Designing novel technological interventions to improve healthcare quality and safety.
In Robotics, we focus on problems in the fields of perception and human-robot teaming. We build autonomous robots able to safely and effectively team with humans, design new algorithms for coordination and collaboration, explore methods for robots to use environmental cues to make better plans, and build new methods to implicitly teach robots.
In Health, we work in the areas of medical simulation and health informatics. We are designing the next generation of high-fidelity patient simulators systems (e.g., life-sized mannequins), that have the ability to accurately express patient pathologies in their face and interact with learners. We are also working on projects on the clinical side, designing new types of health IT communication interventions to improve patient safety.
In Communication, our work is situated in the field of social signal processing and ecological robotics. We are creating new algorithms to automatically detect and model coordination and synchrony in teams.
Our research is interdisciplinary in nature, and spans multiple areas within computer science (robotics, computer vision, machine learning, human-machine interaction), mathematics, cognitive science, clinical health, and social science. Thus, we welcome graduate and undergraduate students from any background - all you need is a healthy interest in both technology and people, and a desire to help make a difference in their lives.