Takanobu Kawabe

The University of Tokyo, NTT (United States)

Papers

Total Citations

H-Index

About

Takanobu Kawabe is a researcher whose work lies at the intersection of robotics, autonomous navigation, and decision-making under uncertainty. His most cited paper, "Real-Time Decision Making under Uncertainty of Self-localization Results" (2003, 9 citations), addresses a fundamental challenge in mobile robotics: how to make reliable navigation decisions when a robot’s knowledge of its own position is imprecise. This work contributes to the development of robust, real-time systems that can function in real-world environments where sensor noise and localization errors are inevitable. Kawabe further advanced the field with "Map of Color Histograms for Robot Navigation" (2006, 5 citations), introducing a visual landmark representation that allows robots to recognize and localize themselves using color-based features. This approach is computationally efficient and well-suited for indoor environments. While his citation counts reflect a focused, specialized impact rather than broad popularity, Kawabe’s contributions are valuable for researchers working on practical, uncertainty-tolerant navigation systems. His work demonstrates a clear commitment to solving core problems in autonomous robotics, particularly the integration of perception and decision-making in real-time.