Sven Norbert Becker
Papers
1
Total Citations
4
H-Index
1
About
Sven Norbert Becker is a robotics researcher specializing in simulation-based trajectory planning and automated measurement systems for flexible manufacturing. His work addresses the critical challenge of accelerating inspection processes in response to shrinking product life cycles and growing demand for mass customization. Becker’s key contribution lies in developing a framework that integrates laser scanning with robotic trajectory planning and execution, enabling robots to perform precise geometric measurements without requiring time-consuming manual reprogramming. His most-cited paper, “Framework for simulation-based Trajectory Planning and Execution of Robots equipped with a Laser Scanner for Measurement and Inspection” (2021), has garnered 4 citations and lays the groundwork for more adaptive, automated quality control in production environments. By bridging simulation and real-world execution, Becker’s research helps manufacturers maintain high geometric accuracy while achieving the flexibility needed for modern, customized production lines. His work is particularly relevant for students and researchers interested in industrial robotics, metrology, and the digital transformation of manufacturing processes.
Research Focus
Key Achievements
Top Papers
- 1