(高 天華)
Ph.D. in Engineering
University of Tokyo, University of Tsukuba
Professional Memberships
I received my Ph.D. degree from the Graduate School of Systems and Information Engineering at the University of Tsukuba, Japan, in March 2026. Since July 2026, I have been an Associated Researcher at the University of Tokyo, Japan. From 2022 to 2026, I was a Research Assistant at the Intelligent Systems Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Japan. From 2023 to 2026, I was supported by the University of Tsukuba Fellowship and the JST SPRING Scholarship. My research interests include learning-based control, aerial robotics, unmanned systems, and the integration of control theory and neuroscience for 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)
Featured Research · 2026
IEEE/ASME Transactions on Mechatronics
SANM reorganizes online disturbance identification on SO(3) into three parallel, axis-wise learners driven directly by Lie-algebraic tracking errors—without offline training or persistent excitation.
Explore the researchFeatured Research · 2024
IEEE Access
A dual-multirotor cable-suspended system uses a ducted-fan payload device and adaptive control to actively suppress swing and deploy payloads across a large workspace.
Explore the researchFeatured Research · 2022
IEEE Access
A virtual-structure leader–follower controller enables multiple quadcopters to transport a cable-suspended payload, reconfigure their formation in flight, and reject cable, wind, and modeling disturbances.
Explore the research
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 …
Conference participation, research presentations, and academic exchanges.
Participation in the American Control Conference 2025, with academic discussions in the RI Session.
