Lukas Wiedemann
Papers
2
Total Citations
17
H-Index
2
About
Lukas Wiedemann is a researcher at the intersection of robotics and neuromuscular engineering, whose work focuses on advancing human-machine interaction through biomechanical sensing and modeling. His key research areas include robotic assessment of neuromuscular function, high-density electromyography (HD-EMG), and the integration of physiological sensors with robotic devices. In his most-cited work, "Robotic assessment of neuromuscular characteristics using musculoskeletal models: A pilot study" (2017, 11 citations), Wiedemann pioneered a method combining robotic manipulation with subject-specific musculoskeletal models to quantify neuromuscular properties—a technique that promises more objective, repeatable assessments for rehabilitation and prosthetics. His second major contribution, "On the function and robustness of skin-electrode interfaces for high-density electromyography" (2017, 6 citations), addresses critical challenges in HD-EMG technology, which uses densely packed electrode arrays to infer muscle activity with high spatial resolution. By identifying inconsistencies in conventional skin-electrode interfaces and proposing novel recommendations, Wiedemann has laid groundwork for more reliable, ubiquitous integration of EMG sensors into wearable robotics. His work is particularly notable for bridging the gap between clinical neuromuscular assessment and real-world robotic applications, offering practical solutions for next-generation prosthetics and assistive devices.
Research Focus
Key Achievements
Top Papers
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