Felix Wohlgemuth
Papers
1
Total Citations
3
H-Index
1
About
Felix Wohlgemuth is a researcher advancing human-robot collaboration, with a focus on making industrial robots more intuitive and accessible. His key research areas include kinesthetic teaching, electromyography (EMG)-based control, and collaborative robotics. Wohlgemuth’s major contribution lies in developing methods that allow workers to teach robots through natural, physical interaction—such as using EMG signals to guide robot movements—eliminating the need for expensive instrumentation or specialized programming skills. His most-cited work, "Electromyography-based Kinesthetic Teaching of Industrial Collaborative Robots" (2024), has already garnered 3 citations, highlighting its early impact in addressing a critical industry challenge: the high cost and complexity of robot programming for small and medium-sized enterprises. By enabling intuitive, real-time teaching without cameras or dedicated programmers, Wohlgemuth’s research promises to democratize automation, making it more accessible to companies that cannot afford traditional robot programming. His work stands out for its practical, user-centered approach, bridging the gap between advanced robotics and real-world manufacturing needs.
Research Focus
Key Achievements
Top Papers
- 1