Jihong Shan
Papers
1
Total Citations
30
H-Index
1
About
Jihong Shan is a leading researcher in robotics and computer vision, specializing in high-accuracy positioning for autonomous manipulation. Their most-cited work, "A high-accuracy positioning method for mobile robotic grasping with monocular vision and long-distance deviation" (2023, 30 citations), introduces a novel approach that leverages monocular vision to correct long-distance positioning errors in mobile robotic grasping. This contribution addresses a critical challenge in industrial automation and service robotics, where precise object manipulation over variable distances is essential. Shan’s method enhances the reliability of vision-guided systems, enabling robots to perform complex tasks with greater autonomy and accuracy. The work has been recognized for its practical impact, offering a cost-effective solution that reduces reliance on expensive multi-sensor setups. By bridging the gap between theoretical vision algorithms and real-world robotic applications, Shan’s research continues to influence advancements in autonomous navigation and grasping, making them a notable figure in the field of intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1