Tadayuki Yokota
Papers
1
Total Citations
4
H-Index
1
About
Tadayuki Yokota is a robotics researcher whose work centers on autonomous navigation and human-robot interaction, with a particular focus on enabling mobile robots to operate seamlessly in human-centric environments. His key contributions lie in developing algorithms for complex, real-world tasks, such as automatic elevator navigation—a critical challenge for robots moving between floors in multi-story buildings. In his most-cited paper, "Development of automatic elevator navigation algorithm for JAUS compliant mobile robot" (2012, 4 citations), Yokota presented a system designed for the Tsukuba Challenge 2011, where a JAUS-compliant robot could autonomously board an elevator when its doors opened. This work addressed a fundamental bottleneck in service robotics: the need for robots to interact with existing infrastructure without human assistance. While his citation count is modest, the practical impact of his research is evident in its application to real-world competitions and its contribution to the broader field of autonomous navigation. Yokota’s achievements highlight his dedication to bridging the gap between laboratory prototypes and deployable robotic systems, making him a notable figure in the development of robots that can navigate dynamic, human-populated spaces.
Research Focus
Key Achievements
Top Papers
- 1