Papers
9
Total Citations
124
H-Index
6
About
Nicolas Vignais is a researcher specializing in human-robot collaboration, robotic exoskeleton control, and sensorimotor adaptation. His work sits at the intersection of biomechanics, neuroscience, and robotics, with a particular focus on developing intuitive, sensor-driven control systems for upper-limb exoskeletons. Among his most influential contributions is a series of studies on EMG-based exoskeleton control, demonstrating that electromyographic signals can reliably replace force sensors to detect user intent during load-carrying tasks — work that has accumulated nearly 50 citations across two closely related publications. Vignais has also made significant strides in improving exoskeleton transparency, developing identification-based methods that minimize unwanted robot resistance, enhancing the naturalness of human-robot interaction. A particularly compelling strand of his research investigates how humans adapt motor patterns to altered gravity conditions induced by exoskeletons, with implications for both rehabilitation and space exploration. His exploration of time-effort trade-offs in movement vigor during exoskeleton use further bridges computational neuroscience and applied robotics. With over 120 total citations across nine publications, Vignais represents an emerging yet impactful voice advancing the science of assistive robotic technology.
Research Focus
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