Yuhan Qi
Papers
2
Total Citations
18
H-Index
2
About
Yuhan Qi is a researcher specializing in robotics, with a focus on vision-based measurement systems and robot motion control. Their work addresses critical challenges in robotic hand-eye coordination and trajectory planning, contributing to more precise and efficient automation. Qi's most cited paper, "Line-feature-based calibration method of structured light plane parameters for robot hand-eye system" (2013), with 14 citations, introduces a novel calibration technique that uses line features to determine structured light plane parameters, essential for monocular-structured light vision measurement. This method enhances the accuracy of 3D sensing in robotic systems, enabling better object localization and manipulation. Another notable contribution, "An on-line robot trajectory planning algorithm in joint space with continuous accelerations" (2010), with 4 citations, presents a trajectory planning approach that ensures continuous accelerations by combining quintic and quartic polynomials. This work improves motion smoothness and control stability, reducing mechanical wear and enabling more fluid robotic movements. Qi's research bridges theoretical advances with practical applications in industrial robotics, offering solutions that enhance both measurement precision and motion efficiency. Their work is valuable for researchers and engineers developing advanced robotic systems for manufacturing, inspection, and automation tasks.
Research Focus
Key Achievements
Top Papers
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- 2