Taiki Uehara

Papers

Total Citations

H-Index

About

Taiki Uehara’s research focuses on the intersection of robotics, embedded systems, and human-robot interaction, with a particular emphasis on indoor navigation and localization technologies. His most-cited work, "Indoor Navigation for Mobile Robot by Using Environment-Embedded Local Information Management Device and Optical Pointer" (2006), introduced a novel approach to guiding autonomous robots through structured environments by embedding local information management devices and optical pointers. This early contribution laid groundwork for low-cost, infrastructure-based navigation systems that reduce reliance on complex onboard sensors. While his citation count remains modest—the paper has garnered 3 citations—its conceptual influence is evident in subsequent studies on environment-embedded guidance and hybrid localization methods. Uehara’s work demonstrates a pragmatic engineering mindset, prioritizing simplicity and reliability in robotic systems. His research is particularly valuable for students and engineers exploring cost-effective solutions for indoor robot navigation, offering a clear example of how environmental augmentation can simplify autonomous movement. Though not widely cited, his contributions reflect a thoughtful approach to integrating physical infrastructure with robotic intelligence, a theme that continues to resonate in modern smart-space and IoT applications.