Papers
6
Total Citations
174
H-Index
4
About
Marc Tabie is a pioneering researcher at the intersection of rehabilitation robotics, brain-computer interfaces, and intelligent human-machine interaction. His work centers on developing adaptive, biosignal-driven systems that enhance motor recovery and occupational safety. Tabie’s most influential contribution is his 2013 paper on EMG-based exoskeleton orthoses for upper limb neuromotor rehabilitation (89 citations), which advocates for extending therapy beyond clinical settings into daily life. He further advanced predictive human-machine interfaces by demonstrating how brain reading can anticipate user intent in robotic systems (37 citations), and developed an intelligent multi-robot control interface using single-trial P300 detection (35 citations). His adaptive multimodal biosignal control framework for exoskeleton-assisted stroke rehabilitation (8 citations) addresses the critical challenge of limited training data from patients. Tabie also introduced the novel concept of “Cognitive Work Protection” for occupational safety, and recently explored asynchronous classification of error-related potentials to improve human-robot collaboration. His research consistently pushes the boundaries of how neural and physiological signals can be harnessed to create more responsive, assistive, and safe robotic technologies.
Research Focus
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Top Papers
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