Papers
4
Total Citations
43
H-Index
3
About
Jan Kuschan is a leading researcher in industrial ergonomics and human-robot collaboration, with a focus on mitigating musculoskeletal disorders in manual assembly. His work centers on developing soft robotic exosuits and inertial measurement unit (IMU)-based systems to detect worker fatigue and recognize human actions in real time. His most cited paper (2021, 34 citations) introduces a novel fatigue recognition method for overhead assembly tasks, using machine learning to automatically identify physical stress and trigger exosuit assistance. This contribution directly addresses a major cause of workplace injury and absenteeism. Kuschan also created a specialized IMU-based human action recognition dataset for cyclic overhead car assembly and disassembly (2022), filling a critical gap in industrial motion datasets that are essential for advancing exoskeleton control and human-robot interaction. His 2021 work on IMU-based action recognition for soft-robotic exoskeletons further demonstrates his commitment to reducing discomfort and stiffness in wearable assistive devices. Additionally, Kuschan contributed to the "Production environment of tomorrow" (ProMo) project, developing a partially automated repair process for small tool moulds, targeting the needs of SMEs. Through these efforts, Kuschan is shaping safer, more efficient industrial workplaces.
Research Focus
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