Eric Eaton
Professor, Computer and Information Science
Research Interests
My research develops machine learning and AI for versatile systems that are deployed for extended durations in complex dynamic environments. This research combines and integrates techniques from continual or lifelong learning, transfer and multi-task learning, deep learning, reinforcement learning, multimodal learning, collaborative AI, machine perception, and robotic control. We apply these methods to problems in autonomous robotics and precision medicine.
GRASP Lab (General Robotics, Automation, Sensing & Perception Lab)