Wudthipong Pichitwong
Papers
1
Total Citations
8
H-Index
1
About
Wudthipong Pichitwong is a researcher at the forefront of human-robot interaction, specializing in multimodal sensing and collaborative robotics. His work centers on developing intuitive communication channels between humans and machines, with a particular focus on fusing hand pointing, eye gaze, and depth sensing to enable seamless intention detection. His 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), introduces a novel approach that combines psychological expressions of pointing with gaze tracking to achieve precise 3D point-of-intention (POI) localization. By integrating these dual rays, Pichitwong’s method enhances the accuracy and responsiveness of collaborative robots, allowing them to anticipate human actions in shared workspaces. This contribution is particularly impactful for advancing safe and efficient human-robot collaboration in manufacturing and assistive technologies. With 8 citations, his work is gaining recognition as a foundational step toward more natural, non-verbal human-robot communication. Pichitwong’s research promises to redefine how robots interpret human intent, making them more adaptive partners in dynamic environments.
Research Focus
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Top Papers
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