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 contextual cues to make better plans, and create new methods to implicitly teach robots.

In Health, we work in the areas of health informatics, assistive technology, and medical simulation. We design new sensing and robotics technologies able to operate in safety-critical settings, such as emergency medicine and the ICU. We also work on mental and behavioral health technology for managed and home care settings. Finally, 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.

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. We engage in algorithm design, robot building, and experimentation in ecological settings.

We welcome graduate and undergraduate students from all backgrounds - all you need is a healthy interest in both technology and people, and a desire to help make a difference in their lives.