Takato Saito

Meiji University, Kanagawa Institute of Technology

Papers

5

Total Citations

33

H-Index

3

About

Takato Saito is a robotics researcher whose work centers on autonomous mobile robot navigation, localization, and human-robot interaction. His primary contributions lie in developing robust localization systems that fuse multiple sensing modalities—most notably, integrating GPS observations with appearance-based place recognition to overcome the inherent limitations of GPS, such as multipath errors and signal loss in urban environments. This approach, detailed in his most-cited paper (12 citations), enables robots to maintain accurate global positioning even under challenging conditions. Saito also demonstrated practical navigation systems in the real-world Tsukuba Challenge 2013 competition (11 citations), where his team’s pre-driving needless system allowed robots to autonomously navigate using pre-collected route information. Beyond mobile robotics, he explored socially assistive technology with a health care system (4 citations) that combined a face robot with tele-operation over the Internet for patient monitoring. With a total of over 30 citations across his key works, Saito’s research bridges theoretical localization methods and real-world deployment, making meaningful contributions to field robotics and assistive technology.

Research Focus

Key Achievements

3
H-Index
5
Papers
33
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Mobile robot localization using multiple observations based on place recognition and GPS
12 citations · 2013
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Meiji University, Kanagawa Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago