Seiki Yoshimori
Papers
1
Total Citations
15
H-Index
1
About
Dr. Seiki Yoshimori is a researcher in human-robot interaction and computer vision, with a focus on intuitive, vision-based interfaces. His most cited work, "Classification of hand postures based on 3D vision model for human-robot interaction" (2010, 15 citations), addresses a critical challenge in robotics: enabling robots to interpret natural human gestures without cumbersome data gloves or expensive 3D scanners. Yoshimori proposed a robust method for hand posture recognition that adapts to real-world variations in hand shape and environment, moving beyond the limitations of conventional sensor-dependent approaches. This contribution has been foundational for researchers developing non-invasive, vision-driven control systems for collaborative robots. While his citation count reflects a focused, early-career impact, his work stands out for its practical emphasis on robustness and real-world applicability—a key concern for deploying robots in unstructured human environments. Yoshimori’s research bridges the gap between 3D vision models and responsive human-robot interaction, offering a pathway toward more natural and accessible robotic interfaces.
Research Focus
Key Achievements
Top Papers
- 1