Jun-Di Sun

About

Dr. Jun-Di Sun is a leading researcher in robotic arc welding and industrial automation, with a focus on integrating vision systems and kinematic modeling to enhance welding precision. His work centers on solving critical challenges in robotic manipulation, including inverse kinematics, weld seam detection, and path planning. Dr. Sun’s most-cited paper, “Analytical inverse kinematic solution using the D-H method for a 6-DOF robot” (2017, 47 citations), provides a foundational analytical approach for six-axis robots, widely referenced in robotics research. He further advanced the field with “Welding seam detection and feature point extraction for robotic arc welding using laser-vision” (2016, 19 citations), which introduced a robust system using structured light and optical filtering to overcome arc light interference. His calibration algorithm for structured light vision (2017, 15 citations) and path-planning algorithm for 3D arc welding (2016, 10 citations) have significantly improved real-time weld seam detection and automated trajectory generation. Dr. Sun’s contributions are vital for developing more reliable, autonomous welding systems, impacting both industrial applications and academic research in robotics and computer vision.

Research Focus

Key Achievements

Top Papers

1. 1
   Analytical inverse kinematic solution using the D-H method for a 6-DOF robot

   47 citations · 2017
2. 2
   Welding seam detection and feature point extraction for robotic arc welding using laser-vision

   19 citations · 2016
3. 3
   A calibration algorithm of the structured light vision for the arc welding robot

   15 citations · 2017
4. 4
   A path-planning algorithm of the automatic welding robot system for three-dimensional arc welding using image processing

   10 citations · 2016
5. 5
   Feature point extraction based on contour detection and corner detection for weld seam

   3 citations · 2018

Key Collaborators

Contact & Links