Mathias Bannwart
ETH Zurich, Universitätsklinik Balgrist, University of Zurich
Papers
6
Total Citations
60
H-Index
4
About
Mathias Bannwart is a leading researcher in neurorehabilitation robotics, specializing in body weight support (BWS) systems for gait and balance training. His work focuses on developing intelligent, transparent robotic devices that enable safe, natural movement for patients with neurological injuries. Bannwart’s major contributions include the design and validation of the FLOAT system, a multi-directional BWS platform that allows unrestricted walking and stair negotiation. His 2019 study on robotic body weight support for stair climbing (19 citations) demonstrated how the system can safely replicate basic locomotor principles, a critical step toward real-world rehabilitation. He also pioneered systematic transparency analysis in gait devices (16 citations), quantifying unwanted interaction forces to improve training quality. His 2020 work on mediolateral damping (11 citations) showed how controlled lateral support enhances stability during treadmill walking. Bannwart further advanced the field by developing real-time motion onset recognition and automated sit-stand detection algorithms, enabling seamless transitions between support modes. His research has been published in leading rehabilitation engineering journals and has direct implications for improving mobility independence in patients with stroke, spinal cord injury, and other movement disorders.
Research Focus
Key Achievements
Top Papers
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