Develops multimodal perception systems integrating vision, sound, vibration, smell, and touch for robust environmental understanding
Explores machine learning and evolution in dynamic environments, including self-aware robots, computational robot design, and policy transfer/sharing
Investigates effective communication and collaboration between machines, humans, and other machines through natural interaction and coordinated action
Applies AI and robotics to accelerate scientific discovery in domains such as healthcare and materials science
Background
Dickinson Family Assistant Professor in the Dept. of Mechanical Engineering & Materials Science, Dept. of Electrical and Computer Engineering, and Dept. of Computer Science at Duke University
Leads the General Robotics Lab
Research interests span Robotics, Perception, Machine Learning, Human-AI Teaming, AI for Science, and Dynamical Systems
Focuses on building autonomous machines that sense, adapt, and connect to advance embodied intelligence, drawing inspiration from natural intelligence in humans and animals
Takes a 'full-stack' approach to study both the 'body' and 'brain' of machines