Ke
Papers
2
Total Citations
8
H-Index
2
About
Ke’s research focuses on autonomous mobile robotics, with particular emphasis on vision-based self-localization and intelligent welding automation. His most cited work, “A MAP Approach for Vision-based Self-localization of Mobile Robot” (2008, 5 citations), introduces a probabilistic framework that fuses odometry and monocular camera data to enable robust pose estimation in 3D environments. By modeling sensor uncertainty through nonlinear functions and the unscented transform, Ke’s system allows robots to recursively estimate their position while handling imprecise measurements—a critical contribution to reliable autonomous navigation. His second notable paper, “Algorithm and Implementation of Auto-Searching Weld Line for Welding Mobile Robot” (2006, 3 citations), presents a complete system for autonomous weld line detection and alignment. The algorithm enables a welding robot to independently identify weld grooves, adjust its posture, and align itself to the seam center before welding. Experimental results demonstrated tracking accuracy within ±1.5 mm, meeting practical industrial requirements. Together, these works showcase Ke’s ability to bridge theoretical probabilistic modeling with real-world robotic applications, advancing both mobile robot localization and automated manufacturing processes.
Research Focus
Key Achievements
Top Papers
- 1A MAP Approach for Vision-based Self-localization of Mobile Robot5 citations · 2008
- 2