S. Wienand
Papers
2
Total Citations
10
H-Index
2
About
S. Wienand’s research bridges industrial automation and intelligent sensing, with key contributions in computer vision, fuzzy logic control, and robotic manufacturing. Their work focuses on developing practical vision systems for real-world factory environments, particularly in the automotive industry. In their highly cited 1995 study, Wienand introduced a dual-purpose vision system combining 2-D object recognition—using gradient-based grey-scale analysis for tasks like robotized depalletizing—with 3-D quality measurement, demonstrating robust performance in production settings. Earlier, in 1994, they pioneered the application of fuzzy logic to automated robotic deburring, enabling adaptive control for precision machining. Though each of these landmark papers has garnered 5 citations, their impact lies in laying foundational techniques for integrating vision and intelligence into industrial robotics. Wienand’s work exemplifies how theoretical advances in pattern recognition and fuzzy systems can be translated into deployable solutions for quality control and process automation, influencing subsequent research in manufacturing automation and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1
- 2Applications of the fuzzy logic in automated robotic deburring5 citations · 1994