Rolf Wiemann
Papers
4
Total Citations
87
H-Index
3
About
Rolf Wiemann is a researcher focused on the intersection of robotics, human-machine interaction, and advanced manufacturing, with a particular emphasis on intuitive programming and micro-assembly. His work addresses the critical challenge of making industrial robots more adaptable and easier to program in the face of fast-changing markets, increasing product variants, and shrinking life cycles. Wiemann’s major contribution lies in developing systems that lower the barrier to robot programming, notably through his highly cited 2018 paper on "Intuitive Robot Programming Using Augmented Reality" (78 citations), which pioneered methods for non-experts to guide assembly tasks. More recently, he has explored the use of Large Language Models (LLMs) for assisted robot control and programming in micro-assembly, as seen in his 2024 publications (each with 3 citations), aiming to automate cost-intensive processes in optics and photonics manufacturing. Wiemann’s work on ROS-based control for industrial micro-assembly robots further demonstrates his commitment to practical, scalable automation solutions. His research is particularly impactful for students and engineers seeking to understand how emerging AI and AR technologies can democratize robotics in precision manufacturing.
Research Focus
Key Achievements
Top Papers
- 1Intuitive Robot Programming Using Augmented Reality78 citations · 2018
- 2Large Language Model for Intuitive Control of Robots in Micro-Assembly3 citations · 2024
- 3Large Language Model for Assisted Robot Programming in Micro-Assembly3 citations · 2024
- 4ROS-Based Control of an Industrial Micro-Assembly Robot3 citations · 2024