Michael Stangl
Papers
1
Total Citations
5
H-Index
1
About
Michael Stangl is a robotics researcher specializing in automated manufacturing and computer vision, with a particular focus on compliant robotic systems for surface finishing. His most cited work, “Computer Vision Approach for the Automated Tool Alignment of an Orbital Sanding Robot” (2019, 5 citations), addresses a critical bottleneck in high-quality automated production lines—specifically, the precise alignment of sanding tools on compliant robots used for complex geometries like car bodies. Stangl’s contribution lies in developing a vision-based method to automate tool alignment, reducing manual intervention and improving consistency in tasks such as sanding paper replacement. While his citation count is modest, his work targets a practical, industry-relevant challenge at the intersection of robotics, manufacturing, and computer vision. By enabling more efficient and reliable automated sanding processes, Stangl’s research supports the broader goal of achieving cost-effective, high-quality production in sectors like automotive manufacturing. His focus on real-world applications makes his contributions valuable for researchers and engineers working on robotic automation and precision manufacturing.
Research Focus
Key Achievements
Top Papers
- 1