Taisei Yamashita
Papers
2
Total Citations
7
H-Index
2
About
Taisei Yamashita is a researcher in human-robot interaction, with a focus on intuitive gesture-based control systems for mobility robots. His work centers on developing natural, non-verbal communication methods—such as finger-pointing and face direction recognition—to enable seamless and automatic robot operation. In his most cited paper, "Movement Operation Interaction System for Mobility Robot Using Finger-Pointing Recognition" (2017, 4 citations), Yamashita proposed a system that allows users to direct a robot to a specific location simply by pointing, creating an intuitive driving experience. His complementary study, "Face direction recognition system for robot control system using fingertip gesture" (2017, 3 citations), enhanced this interaction by integrating head orientation detection—using an Intel RealSense SR300 to recognize front, rightward, and leftward facing angles—to support fingertip gesture commands. Though his citation counts are modest, Yamashita’s contributions are notable for advancing accessible, human-centered robot control, particularly for assistive mobility applications. His work exemplifies a growing trend toward reducing the cognitive and physical burden on users, making robotic systems more responsive and easier to command in real-world environments.
Research Focus
Key Achievements
Top Papers
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