Masato Uchida
Papers
1
Total Citations
2
H-Index
1
About
Masato Uchida is a robotics researcher whose work centers on autonomous mobile robot navigation, with a particular focus on self-localization and environmental perception. His key contributions lie in developing vision-based systems that enable robots to determine their position and adjust their paths in real time. In his notable 2016 study, Uchida proposed a method for self-localization using an omni-directional camera and multicolor luminous landmarks. By detecting these landmarks, the robot could modify its route dynamically, improving navigation accuracy in complex environments. A core innovation of this work was a landmark selection algorithm based on standard deviation, which optimized the choice of three reference points for more reliable positioning. Although this paper has accrued 2 citations to date, it represents a foundational step in low-cost, vision-driven localization strategies. Uchida’s research contributes to the broader field of mobile robotics, offering practical solutions for autonomous systems that must operate without GPS or pre-mapped environments. His work is particularly relevant for students and researchers interested in sensor fusion, landmark-based navigation, and real-time robot control.
Research Focus
Key Achievements
Top Papers
- 1