Summary
Juan Rojas is an Associate Professor and robotics researcher with nine years of experience building probabilistic models that help robots understand and interact with humans and the environment, with a focus on manipulation and recovery from errors. He has held academic and research positions across the U.S., China, and Hong Kong, including roles as Principal Investigator developing commercial smart bin-picking systems and Research Assistant Professor at CUHK. His work bridges theory and practice—combining probabilistic modeling, efficient learning, and hands-on integration with platforms from Atlas to Baxter—to make robotic skills more transferable and computationally efficient. Juan’s engineering background is rooted in a Vanderbilt Ph.D. in robotics and long experience integrating hardware and control systems, and he has taught a wide range of engineering and math courses to honors students. He is based in Nashville and maintains an online portfolio showcasing his research and projects. An often-overlooked strength is his experience designing educational robotics frameworks to teach STEM, reflecting a commitment to both cutting-edge research and practical pedagogy.
9 years of coding experience