Papers

3

Total Citations

52

H-Index

3

About

Wolfgang Wiedmeyer is a robotics researcher whose work bridges the gap between theoretical motion planning and practical, accessible hardware. His primary research areas include real-time robot control, multi-objective optimization for redundant manipulators, and the development of remotely accessible platforms for scalable robotics education. Wiedmeyer’s most significant contribution is a closed-form, multi-objective redundancy resolution scheme for seven-degree-of-freedom serial manipulators. This analytic inverse kinematics solution dramatically outperforms traditional numerical methods, enabling real-time motion planning—a critical advancement for industrial applications requiring speed and precision. With 27 citations, this work is his most impactful to date. He is also the driving force behind the KUKA Robot Learning Lab at KIT, a remotely accessible robotics testbed that democratizes access to expensive, state-of-the-art lightweight robots for students and researchers worldwide (21 citations). Additionally, Wiedmeyer has explored bio-inspired robotics, developing a novel biarticular joint mechanism that independently controls stiffness and position, mimicking human limb dynamics without the complexity of pneumatic or tendon-based systems. Through these contributions, Wiedmeyer is not only advancing the frontiers of robot control but also ensuring that the next generation of roboticists has the tools to innovate.

Research Focus

Key Achievements

3
H-Index
3
Papers
52
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
A Real-Time-Capable Closed-Form Multi-Objective Redundancy Resolution Scheme for Seven-DoF Serial Manipulators
27 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Karlsruhe Institute of Technology, Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago