Papers

2

Total Citations

29

H-Index

2

About

Guillaume Charvet is a leading researcher in neural engineering and assistive robotics, with a primary focus on deep brain stimulation (DBS) and brain-computer interface (BCI)-controlled robotic systems. His seminal 2011 paper on DBS, cited 21 times, established foundational insights into the mechanisms and applications of this neuromodulation technique for treating neurological disorders. More recently, Charvet has pioneered the integration of depth-sensor-based shared control assistance into BCI-driven assistive devices, as highlighted in his 2025 study (8 citations). This work addresses a critical gap in long-term, home-use applications, enabling individuals with motor impairments to achieve greater autonomy in mobility and object manipulation through power wheelchairs and robotic manipulators. By combining real-time sensor feedback with user intent decoding, Charvet’s contributions have advanced the practical deployment of assistive technologies, bridging the gap between laboratory prototypes and real-world usability. His research not only enhances the quality of life for those with severe motor disabilities but also pushes the boundaries of human-machine interaction, making him a pivotal figure in the evolution of neuroprosthetics and rehabilitation engineering.

Research Focus

Key Achievements

2
H-Index
2
Papers
29
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Deep brain stimulation
21 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Clinatec, Commissariat à l'Énergie Atomique et aux Énergies Alternatives

Top Papers

  1. 1
    Deep brain stimulation
    21 citations · 2011
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago