Kirsten Albracht
Papers
7
Total Citations
29
H-Index
3
About
Kirsten Albracht’s research sits at the intersection of robotics, biomechanics, and rehabilitation, with a primary focus on using industrial robots for neuromuscular strength training. Her major contributions center on developing and controlling robotic systems—particularly through admittance control and iterative learning control—to deliver safe, effective leg extension exercises. By enabling precise monitoring and adjustment of forces along the motion trajectory, her work directly addresses the risk of training-induced injuries while optimizing rehabilitation for conditions like sarcopenia, osteoporosis, and knee arthrosis. Her most cited paper, “Admittance Control of an Industrial Robot during Resistance Training” (2019, 9 citations), establishes a foundational approach for isotonic training. She has also advanced real-time biomechanical simulation, notably in her 2025 work on predicting knee adduction moments using OpenSim. With a growing portfolio that includes collaborative human-robot carrying tasks, Albracht is shaping the future of assistive robotics for aging populations and clinical rehabilitation. Her work is essential reading for researchers interested in human-robot interaction, control systems, and integrative biomechanics.
Research Focus
Key Achievements
Top Papers
- 1Admittance Control of an Industrial Robot during Resistance Training9 citations · 2019
- 2Isokinematic leg extension training with an industrial robot6 citations · 2016
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