Papers
5
Total Citations
36
H-Index
3
About
Julian Seiler is pioneering the next generation of wearable sensing technologies for human-robot interaction and assistive robotics. His research centers on force myography (FMG) and the development of soft, 3D-printed piezoelectric sensors—particularly ferroelectrets—to detect subtle muscle movements and motion intention. Seiler’s major contributions include the creation of highly sensitive, low-cost force sensors that can be seamlessly integrated into 3D-printed parts, enabling accessible production for both industrial and consumer applications. His work on wearable ferroelectret sensors has advanced motion analysis and exoskeleton control, while his innovative insole design for vertical ground reaction force estimation, using convolutional neural networks, promises to transform biomechanical gait analysis. Additionally, Seiler has explored vibrotactile feedback interfaces using phantom tactile sensation for intuitive human-robot interaction. With his most-cited paper garnering 17 citations in 2024 and a growing portfolio of impactful studies, Seiler is establishing himself as a key figure in wearable sensing and assistive technology. His research directly addresses critical challenges in rehabilitation, elderly care, and human-machine collaboration.
Research Focus
Key Achievements
Top Papers
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- 3Wearable Ferroelectret Sensors for Muscle Activity Measurements4 citations · 2024
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