Shohei Nagai

Hi! I’m Shohei Nagai, a first-year Master’s student at the Robotics Institute at Carnegie Mellon University, advised by Prof. Zackory Erickson.

My research interests center on robot learning and embodied intelligence. I aim to develop algorithms that help robots learn efficiently, generalize to new situations, and adapt through real-world interaction. I am broadly interested in combining reinforcement learning, imitation learning, and foundation models to build robotic systems that are both flexible and reliable.

Before joining CMU, I received my Master’s degree from the University of Tokyo, where I was advised by Prof. Jun Rekimoto. I have also worked on real-world retail robots at Preferred Robotics and at Microsoft, where I developed text input technologies for large-scale products.