Chiaki Ueda
Papers
1
Total Citations
3
H-Index
1
About
Chiaki Ueda is a researcher in intelligent robotics and computer vision, with a focus on surface characterization and micro-roughness recognition. Her most cited work, "An Intelligent Robot Vision System for Recognizing Micro-roughness on Arbitrary Surfaces: Experimental Result for Different Methods" (2022), introduces a novel approach that enables robots to perceive and classify subtle surface textures—a critical capability for precision manufacturing, quality control, and autonomous inspection. By comparing multiple vision methods, Ueda’s research advances the integration of machine learning with robotic perception, allowing systems to adapt to diverse, unstructured surfaces. Though her citation count is currently modest, her work addresses a niche yet industrially significant challenge, bridging the gap between theoretical computer vision and practical robotic manipulation. Ueda’s contributions are particularly relevant for students and engineers exploring tactile-like sensing through visual data, and her experimental methodology provides a replicable framework for future studies in surface metrology and intelligent automation.
Research Focus
Key Achievements
Top Papers
- 1