Papers
1
Total Citations
43
H-Index
1
About
Jian Li Hoo is a researcher in robotics and computer vision, with a primary focus on sensor calibration and 3D perception. His most-cited work, "Hand-eye calibration for 2D laser profile scanners using straight edges of common objects" (2021), has garnered 43 citations, reflecting its practical significance in simplifying calibration processes for industrial and mobile robotics. Hoo’s key contribution lies in developing a novel method that leverages everyday objects—such as straight edges—to align 2D laser scanners with robotic systems, eliminating the need for specialized calibration targets. This approach enhances accuracy and reduces setup time, making it valuable for applications in autonomous navigation, quality inspection, and manufacturing. His research bridges theoretical precision with real-world usability, offering a cost-effective solution for integrating laser-based sensors into robotic workflows. Hoo’s work is notable for its accessibility and impact on field robotics, where robust calibration is critical for reliable perception. With a growing citation record, he is establishing himself as a practical innovator in sensor fusion and robotic vision, contributing to more efficient and adaptable automation systems.
Research Focus
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Top Papers
- 1