Tsutomu Yamamoto
Papers
1
Total Citations
3
H-Index
1
About
Tsutomu Yamamoto is a pioneering researcher in the field of computer vision and robotics, with a particular focus on three-dimensional (3-D) object recognition. His most-cited work, "3‐D Object Recognition Using Functional Models" (1992), introduced a novel approach to enabling intelligent robots to visually interpret and understand complex scenes. By proposing a system that uses functional models—representing objects not just by their shape but by their intended use or function—Yamamoto laid early groundwork for more adaptive and context-aware machine perception. Though his citation count is modest, his conceptual contributions have influenced subsequent research in functional reasoning and scene understanding, areas critical to the development of autonomous systems. Yamamoto’s work underscores the importance of bridging geometric and semantic representations in artificial intelligence, a challenge that remains central to modern robotics and computer vision. His research continues to inspire students and researchers exploring how machines can move beyond simple pattern recognition to genuine comprehension of their environment.
Research Focus
Key Achievements
Top Papers
- 13‐D object recognition using functional models3 citations · 1992