My work lies at the intersection of robotics, machine learning, human–robot interaction, and explainable AI. I am particularly interested in how intelligent robotic systems can operate robustly and transparently in complex, human-centered environments.
I direct the Robot Autonomy and Interactive Learning (RAIL) Lab, where we develop algorithms and systems that enable robots to act autonomously over long time horizons, reason under uncertainty, and interact effectively with people. Our work spans robot planning and learning, multi-robot coordination, and human-aware decision-making, with an emphasis on building systems that are interpretable and adaptive. Visit the lab website or Google Scholar for descriptions of our recent projects.
Since 2021, I also serve as Executive Director and Principal Investigator of AI-CARING, a NSF National AI Institute focused on developing personalized, collaborative AI systems that support independent home life for aging adults. The Institute brings together researchers across AI, robotics, human–computer interaction, ethics, and the social sciences to develop foundational technologies, evaluation frameworks, and deployment methodologies that emphasize trust, transparency, and real-world impact.
Beyond my research, I serve as Senior Editor for IEEE Transactions on Human-Robot Interaction (THRI) and IEEE Robotics and Automation Letters (RA-L), am a member of the Board of Directors for the Conference on Robot Learning (CoRL), and served on the Senior Program Committee for ICRA 2025. In 2026, I held the role of Interim Associate Director of Georgia Tech’s Institute for Robotics and Intelligent Machines (IRIM).
Here is a copy of a faily recent CV.
Teaching
Below are copies of syllabi for recent courses. For each active course, I host core course materials, assignments, and announcements on Canvas, which is only accessible to enrolled students. The links below lead to past syllabi for general reference, course materials evolve from year to year.
Incoming Students
Georgia Tech MS students interested in research and capstone projects: we typically onboard new students in early August, please reach out over email in late July or early August for a list of open projects.
Prospective PhD students: please don’t send me email notifying me that you’re planning to apply, due to the volume of daily messages I neither read or respond to such emails. I look forward to reviewing your application once it is submitted.