Su‐Dan Huang

About

Dr. Su-Dan Huang is a leading researcher in robotics and intelligent manufacturing, with a primary focus on robotic kinematics, welding automation, and human-robot interaction. Her most impactful work includes an analytical inverse kinematic solution for 6-DOF robots using the D-H method (47 citations), which provides a computationally efficient approach for real-time control. In welding robotics, she has pioneered visual sensor systems that combine cameras and lasers for weld joint identification, achieving 28 citations for her SVM-based classification method and 19 citations for seam detection and feature extraction in arc welding. Her calibration algorithm for structured light vision (15 citations) enhances precision in automated welding. Dr. Huang also contributed to the development of a 4-DOF SCARA robot for pick-and-place tasks (14 citations) and explored cloud-based distributed databases for lower-limb exoskeleton robots, addressing large-scale data storage in rehabilitation robotics. Her work bridges theoretical kinematics with practical industrial applications, significantly advancing robotic automation in manufacturing and assistive technologies.

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
   A Weld Joint Type Identification Method for Visual Sensor Based on Image Features and SVM

   28 citations · 2020
3. 3
   Welding seam detection and feature point extraction for robotic arc welding using laser-vision

   19 citations · 2016
4. 4
   A calibration algorithm of the structured light vision for the arc welding robot

   15 citations · 2017
5. 5
   Development of a 4-DOF SCARA robot with 3R1P for pick-and-place tasks

   14 citations · 2015
6. 6
   Distributed Database of Cloud Platform for the Lower-limb Exoskeleton Robot

   4 citations · 2020

Key Collaborators

Contact & Links