research interests

Our group's mission focuses on the research and development of systems that can adapt their performance to unforeseen or unpredictable changes in the environment. Our AI interests include goal reasoning, planning and acting, human-machine teaming, machine learning, robotics, natural language understanding, and explainable AI. Our work emphasizes the linkage of theory and application in projects that use a full spectrum of adaptive systems and artificial intelligence techniques. Some of our current projects and topics include:

• Goal Reasoning: This allows agents to automatically respond to unexpected events in complex environments, including self-selection of their goals. Project interests include controlling an amphibious vehicle, controlling underwater vehicles, learning top-level control functions, rebel agents, and explainable agents.

• Machine Learing (ML): In addition to several projects on novel architectures and learning methods for deep learning, we are pursuing projects involving the application of ML (and related) techniques for (1) proteomics and (2) maritime domain awareness.

• Human-Robot Interaction (HRI): Our work here focuses on increasing the capabilities of robots that work around humans, necessitating flexibility and robustness in execution. We also study how to better interact with robots directly, including better methods for shared control and other natural interaction techniques.