Papers
10
Total Citations
179
H-Index
7
About
Gabriel Baud-Bovy is a leading researcher in sensorimotor neuroscience and haptic robotics, whose work bridges the gap between human perception and machine interaction. His key research areas include multisensory integration, kinesthetic perception, and robot-assisted assessment of motor control. A major contribution is his single-case study on optimal integration of intraneural somatosensory feedback with visual information (60 citations), which demonstrated that amputees can combine artificial sensory feedback from neural interfaces with vision in a statistically optimal manner—a breakthrough for next-generation prosthetics. He has also advanced haptic technology, customizing commercial devices for high-fidelity force rendering (30 citations) and developing low-cost robotic assessments for visuo-motor deficits in Alzheimer’s disease (15 citations), offering new tools for early diagnosis. His work on force direction identification thresholds (21 citations) and kinesthetic pointing errors (23 citations) has deepened understanding of human haptic perception. Notably, Baud-Bovy’s research on cooperative human-machine interaction and cable-driven robots highlights his commitment to practical, accessible rehabilitation technologies. With over 170 citations across his most influential papers, his contributions continue to shape the fields of haptics, neuroprosthetics, and clinical motor assessment.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Amplitude and direction errors in kinesthetic pointing23 citations · 2004
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- 5Low-Cost Robotic Assessment of Visuo-Motor Deficits in Alzheimer’s Disease15 citations · 2017
- 62 Does Torque Minimization Yield a Stable Human Grasp?13 citations · 2005
- 7Human Machine Interaction and Communication in Cooperative Actions7 citations · 2014
- 8Robot-assisted assessment of sensorimotor control: A case study4 citations · 2009
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