Maike Ketelhut
Papers
6
Total Citations
31
H-Index
4
About
Dr. Maike Ketelhut is a leading researcher in the intersection of robotics and human health, specializing in robot-assisted rehabilitation and neuromuscular training. Her work focuses on developing intelligent control systems—specifically admittance control, iterative learning control (ILC), and fuzzy logic—to enable industrial robots to safely and effectively interact with humans during therapeutic exercise. A key contribution is her design of an admittance control scheme for isotonic leg extension training, which allows robots to provide precise, adaptive resistance for strength training in rehabilitation and fall prevention. Her research on "assist-as-needed" strategies, particularly for upper-arm stroke rehabilitation, demonstrates how robots can adapt support to encourage patient effort, promoting neuroplasticity. With her most-cited paper receiving 9 citations, Dr. Ketelhut’s work systematically compares training algorithms (isokinematic vs. isotonic) and advances adaptive ILC to monitor and control musculoskeletal forces, preventing training-induced injuries. Her notable achievement includes pioneering the use of lightweight industrial robots for safe, autonomous neuromuscular training, bridging the gap between industrial automation and clinical therapy.
Research Focus
Key Achievements
Top Papers
- 1Admittance Control of an Industrial Robot during Resistance Training9 citations · 2019
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