Marco Rabuffetti
Papers
6
Total Citations
290
H-Index
6
About
Marco Rabuffetti is a leading figure in human movement science and wearable robotics, whose work bridges the gap between biomechanics and assistive technology. His research centers on understanding human locomotion—from level walking to stair negotiation—and translating that knowledge into the design and evaluation of robotic exoskeletons. His most impactful contribution is a comprehensive dataset of kinematic, kinetic, and EMG data during walking and stair tasks, published in 2019 with 181 citations, providing an essential reference for gait analysis across a wide age range. Rabuffetti has also advanced the ergonomic assessment of wearable robots, notably through studies on physical human-robot interaction with an active pelvis orthosis (51 citations) and analyses of relative displacement between exoskeletons and users (23 citations). His work extends into neurorehabilitation, where he has explored how body-weight support influences gait kinematics and developed robotic platforms to counteract postural perturbations in Parkinson’s disease. By integrating rigorous biomechanical data with robotic design, Rabuffetti’s research directly informs safer, more effective assistive devices, making him a pivotal contributor to both rehabilitation engineering and human-robot interaction.
Research Focus
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Top Papers
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