Makie Higuchi
Papers
1
Total Citations
2
H-Index
1
About
Makie Higuchi’s research centers on mobile robotics, sensor fusion, and state estimation, with a focus on improving autonomous navigation through robust control theory. Their most cited work, “Global state estimation by an initial state observer: theory and experiments for a two-wheeled mobile robot” (2006, 2 citations), addresses critical limitations in traditional dead reckoning and star reckoning methods by proposing a novel sensor fusion approach. This paper introduces an initial state observer that enhances global state estimation accuracy, offering a theoretical framework and experimental validation for two-wheeled robots. While their citation count is modest, Higuchi’s contribution lies in tackling fundamental challenges in mobile robot localization—a cornerstone of modern autonomous systems. Their work bridges theory and practice, providing a foundation for subsequent advances in sensor integration and real-time control. Though not widely cited, this research demonstrates a rigorous approach to overcoming sensor noise and drift, reflecting a deep engagement with core robotics problems. For students and researchers, Higuchi’s study exemplifies how targeted solutions to niche challenges can inform broader developments in autonomous navigation and control systems.
Research Focus
Key Achievements
Top Papers
- 1