Tianhua Gao received the Ph.D. degree from the Graduate School of Systems and Information Engineering, University of Tsukuba, Japan, in March 2026. He was awarded the University of Tsukuba Fellowship and the JST SPRING Scholarship. He was also a Research Assistant at the Intelligent Systems Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Japan. His research interests focus on integrating control theory and neuroscience to advance the field of machine intelligence and control.
Associated Researcher
University of Tokyo
Postdoctoral Fellow
University of Tsukuba
PhD in Control Engineering (Machine Intelligence & Robotics)
University of Tsukuba
Research Assistant
National Institute of Advanced Industrial Science and Technology (AIST)
To our knowledge, Sliced Learning is among the first frameworks to demonstrate lightweight online neural adaptation at 400 Hz on resource-constrained microcontroller units (MCUs), …
This paper introduces an adaptive-neuro identification method that enhances the robustness of a centralized multi-quadrotor transportation system.
This paper introduces an adaptive-neuro geometric control for a centralized multi-quadrotor cooperative transportation system, which enhances both adaptivity and disturbance …
The cable-suspended transportation using multiple UAVs has gradually gained attention in UAV logistics fields over the past decade, owing to their greater efficiency compared to a …
Participation in the American Control Conference 2025, with academic discussions in the RI Session.
