Papers

12

Total Citations

190

H-Index

8

About

Charles Fattal is a French researcher whose work sits at the dynamic intersection of assistive robotics, rehabilitation engineering, and human-machine interfaces, with a particular focus on improving quality of life for individuals with spinal cord injuries and elderly populations. His most influential contribution, a 2020 study on humanoid robot cohabitation with elderly users (43 citations), helped shape our understanding of how social robots can be meaningfully integrated into home and care environments. Alongside this, his pioneering 2016 work on EMG-based interfaces for individuals with tetraplegia (32 citations) demonstrated the feasibility of using residual supra-lesional muscle activity to control assistive robotic grasping — a breakthrough for motor-impaired users. His development of the SAM robotic platform and the ARMEN project further cemented his reputation as a leading voice in practical assistive technology design, bridging laboratory research with real-world clinical deployment. Fattal's investigations into functional electrical stimulation and nonlinear neuromuscular modeling reflect a sophisticated technical foundation beneath his human-centered approach. Across more than a decade of research, his cumulative body of work — spanning robotics, FES control, and usability assessment — has made him a significant contributor to the field of rehabilitation engineering and inclusive human-robot interaction.

Research Focus

Key Achievements

8
H-Index
12
Papers
190
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Perspectives on usability and accessibility of an autonomous humanoid robot living with elderly people
43 citations · 2020
📈 Most Prolific Year: 2016 (3 Papers)
🤝 Key Collaborators: 52
🏛 Institutions: AGIR à dom, Institut Agro Montpellier, Laboratoire d'étude de l'apprentissage et du développement

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago