Bjoern Braunstein
Papers
6
Total Citations
23
H-Index
3
About
Bjoern Braunstein’s research lies at the intersection of robotics, biomechanics, and neuromuscular rehabilitation, with a focus on developing intelligent robotic systems for human strength training. His major contributions center on the design and control of industrial robots repurposed for therapeutic leg extension exercises, particularly for aging populations and patients with sarcopenia or musculoskeletal disorders. Braunstein pioneered the use of admittance control and iterative learning control algorithms to ensure safe, effective, and personalized resistance training—monitoring forces in real time to prevent injury while maximizing muscle activation. His work on comparing isokinematic and isotonic training algorithms (2018) and advancing knee adduction moment prediction via OpenSim simulations (2025) demonstrates a commitment to integrating computational biomechanics with robotic control. With over 20 citations across his most-cited papers, Braunstein’s research has practical implications for rehabilitation robotics and collaborative human–robot work. His 2025 study on integrative biomechanics during human–robot carrying tasks further extends his impact to future collaborative work environments, highlighting his role in shaping safer, more adaptive robotic assistance for vulnerable populations.
Research Focus
Key Achievements
Top Papers
- 1Admittance Control of an Industrial Robot during Resistance Training9 citations · 2019
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