Hui Ju

Chengdu University of Information Technology

Papers

Total Citations

H-Index

About

Hui Ju’s research lies at the intersection of robotics, computer vision, and sensor fusion, with a primary focus on enhancing the autonomy and precision of manipulators and mobile robots. Her foundational work on vision-based manipulator control addresses critical challenges in real-time image processing and smooth motion planning, proposing algorithms that improve both the speed and accuracy of robotic responses. In parallel, her development of efficient algorithms for inverse kinematics and path planning has provided streamlined solutions for the automatic control of six-degree-of-freedom manipulators, reducing computational complexity while maintaining reliability. Ju has also made notable contributions to mobile robotics through her work on localization using Extended Kalman Filtering, where she integrated relative positioning from encoders and gyroscopes with absolute orientation from laser radar to create robust, multi-sensor navigation systems. Her most cited papers—including “Research of Manipulator Motion Planning Algorithm Based on Vision” (8 citations) and “Efficient Algorithms for the Kinematics and Path Planning of Manipulator” (6 citations)—demonstrate her sustained impact on practical robotics challenges. Ju’s research continues to inform the development of more responsive, intelligent robotic systems for industrial and autonomous applications.