Hirotsugu Tsutsumi
Papers
2
Total Citations
4
H-Index
2
About
Hirotsugu Tsutsumi is a robotics researcher whose work centers on autonomous mobile robot navigation, with a particular focus on self-position estimation. His major contributions involve developing methods that allow robots to determine their location in real-time using image template matching and normalized correlation coefficients, even when processing times are variable—a critical challenge for reliable autonomous operation. This approach enables robots to maintain accurate positioning despite computational constraints, advancing the practicality of mobile robotics in dynamic environments. While his most-cited papers, "Self‐Position Estimation of an Autonomous Mobile Robot with Variable Processing Time" (2010) and its earlier 2008 iteration, each hold 2 citations, they represent foundational work in adaptive localization techniques. Tsutsumi’s research addresses a key bottleneck in robotics: balancing computational efficiency with positional accuracy. His contributions are particularly relevant for students and researchers exploring vision-based navigation, real-time systems, and the integration of template matching in resource-limited robotic platforms. Through his focus on variable processing time, Tsutsumi highlights the importance of robustness in autonomous systems, offering insights that continue to inform the development of more adaptive and reliable mobile robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2