Manami Takahashi
Papers
2
Total Citations
8
H-Index
2
About
Manami Takahashi is a robotics researcher specializing in state estimation and visual feedback control for autonomous vehicles, with a focus on overcoming sensor limitations in motion capture systems. Her work addresses critical challenges in real-time vehicle localization, particularly when markers are partially occluded or corrupted by noise and outliers. Takahashi’s key contributions include the development of moving horizon estimation (MHE) techniques that directly utilize partial marker information from motion capture cameras, enabling robust position and heading angle determination even under adverse conditions. Her 2016 paper on MHE for vehicle robots, cited 6 times, demonstrates how her approach mitigates measurement fluctuations and occlusion issues, while her follow-up work on visual feedback control extends these methods to closed-loop vehicle guidance. Though her citation counts are modest, Takahashi’s research is notable for tackling a practical bottleneck in motion capture-based navigation—a problem relevant to indoor robotics, drone swarms, and automated guided vehicles. Her work bridges estimation theory and real-world sensor constraints, offering pragmatic solutions for systems where full marker visibility cannot be guaranteed.
Research Focus
Key Achievements
Top Papers
- 1
- 2