The University of Tokyo
Ph.D. Student, Department of Technology Management for Innovation, Graduate School of Engineering
Research: Scalable Imitation Learning and Test-Time Scaling for Robot Foundation Models
I am a Ph.D. student in the Department of Technology Management for Innovation, Graduate School of Engineering, The University of Tokyo. My research centers on robot learning, especially scalable imitation learning and test-time scaling for robot foundation models.
My work connects imitation learning, reinforcement learning, task and motion planning, and robot foundation models. I am especially interested in long-horizon reasoning, contact-rich manipulation, simulation-driven learning, and inference-time scaling.
My academic background combines mechanical engineering, information science, and technology management with a consistent focus on robotics.
Ph.D. Student, Department of Technology Management for Innovation, Graduate School of Engineering
Research: Scalable Imitation Learning and Test-Time Scaling for Robot Foundation Models
M.Eng., Graduate School of Advanced Science and Technology, Information Science
Research: Task and Motion Planning for Contact-Rich Manipulation
B.Eng., Faculty of Engineering, Department of Mechanical Engineering and System Design
Research: Object Identification Using Visual and Surface-Tracing Vibration Signals
My experience spans academic research groups, applied AI settings, and engineering work connected to robotics and embodied intelligence.
I value research and engineering that connect reliable systems with ambitious problems in embodied intelligence.