Suparat Yeamkuan
Papers
1
Total Citations
8
H-Index
1
About
Suparat Yeamkuan is a researcher specializing in human-robot interaction, with a particular focus on multimodal sensing and collaborative robotics. Her work centers on developing intuitive communication methods between humans and machines, especially through the fusion of hand pointing, eye gaze, and depth sensing technologies. In her most cited paper, "A 3D Point-of-Intention Estimation Method Using Multimodal Fusion of Hand Pointing, Eye Gaze and Depth Sensing for Collaborative Robots" (2021, 8 citations), she introduced a novel approach to detecting a user's point of intention in three-dimensional space. By combining hand-pointing and eye-gaze rays, her method enables more precise and psychologically natural intention estimation, significantly improving human-robot collaboration. This work addresses a critical challenge in robotics: enabling machines to understand human intent without explicit verbal commands. Yeamkuan's contributions are particularly valuable for advancing assistive and industrial robotics, where seamless interaction is essential. Her research demonstrates a strong interdisciplinary approach, merging cognitive psychology, computer vision, and robotics engineering to create more responsive and intuitive collaborative systems.
Research Focus
Key Achievements
Top Papers
- 1