Papers

3

Total Citations

17

H-Index

2

About

Thomas Provot is a researcher advancing the field of human–robot interaction, with a focus on rehabilitation robotics and assistive technologies. His work centers on developing and assessing robotic exoskeletons and social robots to improve therapeutic outcomes for individuals with neurological disorders, particularly stroke survivors. A key contribution is the creation of a three-dimensional relative motion method for evaluating human–robot interaction, providing a novel ergonomic framework to assess physical interfaces in exoskeletons—a methodology that addresses a critical gap in performance indicators. Provot has also explored stance control in active hip-knee exoskeletons using hidden Markov models for gait phase detection, enhancing user support during rehabilitation. Additionally, his preliminary study on the social assistive robot NAO for post-stroke therapy highlights his interest in integrating socially interactive robots into clinical settings. With his most-cited paper garnering 9 citations and ongoing work in exoskeleton control and ergonomic assessment, Provot’s research is shaping safer, more effective human–robot systems for rehabilitation.

Research Focus

Key Achievements

2
H-Index
3
Papers
17
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Development of a 3D Relative Motion Method for Human–Robot Interaction Assessment
9 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: École nationale supérieure d'arts et métiers, ParisTech

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago