Jinghui Li

Papers

Total Citations

H-Index

About

Jinghui Li’s research lies at the intersection of robotics, computer vision, and automation, with a focused expertise in enhancing the precision of industrial manipulators. Li’s major contributions center on developing novel, cost-effective kinematic calibration methods that integrate Simultaneous Localization and Mapping (SLAM) with RGB-D cameras. This work directly addresses the long-standing industry challenge of absolute accuracy in offline robot programming. By replacing expensive, complex calibration equipment with accessible checkerboard patterns and visual SLAM, Li’s approach simplifies the correction of kinematic errors—a critical step for high-precision manufacturing. Notably, Li’s 2019 and 2020 papers, each garnering 4 citations, have laid foundational groundwork for a new class of calibration techniques that merge motion estimation with geometric correction. This work is particularly impactful for researchers and engineers seeking to democratize robot calibration, making it more practical for small-to-medium enterprises. Li’s contributions represent a meaningful step toward bridging the gap between theoretical SLAM advancements and real-world industrial automation needs.