About

Hi, I’m Sean Fu — a researcher focused on the intersection of machine learning, data-driven robotics, and intelligent systems.

I am currently a Ph.D. student in Computer Science at Arizona State University, working in the Interactive Robotics Laboratory under the supervision of Dr. Heni Ben Amor. My research explores how learning-based methods can enable robots to perceive, reason, adapt, and collaborate more effectively in complex, real-world environments. I am particularly interested in developing algorithms that fuse machine learning, human-centered design, and embodied intelligence to create robots that learn from data, interact naturally with people, and make robust decisions in dynamic settings.

Before beginning my doctoral studies, I completed my B.S. in Informatics with a specialization in Human-Centered Data Science at the University of Texas at Austin, where I graduated in December 2024. During my time at UT Austin, I worked on projects spanning reinforcement learning, multimodal systems, human-AI interaction, and applied machine learning. These experiences shaped my interest in building intelligent systems that bridge the gap between algorithmic capability and human-centered design.

Now at ASU, I continue to expand my research in machine learning and robotics, with ongoing work involving: • Learning from demonstrations and large-scale data • Human-robot collaboration and interaction • Reinforcement learning and policy optimization • Multimodal and generative AI for robotic perception and control • Intelligent systems that adapt in real time to uncertainty and changing environments

I’m driven by a broader goal: to create intelligent robotic systems that not only perform well technically, but also integrate seamlessly with human needs, workflows, and values. Through my research, I aim to contribute to the next generation of data-driven, adaptive, and socially aware robots.