Mingzen Huang
Papers
1
Total Citations
3
H-Index
1
About
Mingzen Huang’s research focuses on robotics, computer vision, and automated manufacturing, with a particular emphasis on integrating visual feedback for precise object manipulation. His most-cited work, "The use of visual feedback for the acquisition of pseudorandomly oriented parts" (1984), addresses the challenge of enabling robots to autonomously pick up cylindrical objects in unstructured environments. In this foundational study, Huang details a complete pipeline for object localization, including image analysis, camera calibration, and algorithm specification, allowing a robot to define and acquire parts with random orientations. Although the paper has accumulated 3 citations, its conceptual contributions to early vision-guided robotics are notable for laying groundwork in automated assembly and flexible manufacturing. Huang’s work demonstrates a practical, systems-level approach to bridging computer vision and robotic control, influencing subsequent research in sensor-based automation. His achievements reflect a career dedicated to solving real-world industrial problems through intelligent, vision-driven robotic systems, making his research a valuable reference for students and engineers exploring the intersection of perception and manipulation in robotics.
Research Focus
Key Achievements
Top Papers
- 1