Tatsuhito Watanabe
Papers
2
Total Citations
6
H-Index
2
About
Tatsuhito Watanabe is a researcher focused on mobile robotics and intelligent transportation systems, with a particular emphasis on road condition recognition for remote-operated vehicles. His work addresses the critical challenge of providing realistic, data-driven feedback to operators controlling robots in distant environments, enabling safer and more comfortable navigation. Watanabe’s major contributions lie in developing machine learning-based methods to classify road surfaces using friction force data. In his most-cited paper, "Recognition and Classification of Road Condition on the Basis of Friction Force by Using a Mobile Robot" (2011, 4 citations), he pioneered a framework for categorizing road conditions—such as dry, wet, or icy—by analyzing force interactions between the robot’s wheels and the terrain. He further refined this approach in "On-line recognition of driving road condition using Support Vector Machine" (2011, 2 citations), demonstrating real-time classification capabilities. Though his citation counts are modest, Watanabe’s work is notable for its practical application in teleoperation and autonomous navigation, laying groundwork for systems that enhance operator awareness and vehicle control. His research bridges robotics, sensor fusion, and pattern recognition, offering valuable insights for students and engineers developing intelligent mobility solutions.
Research Focus
Key Achievements
Top Papers
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- 2