Papers

4

Total Citations

54

H-Index

4

About

Simon Bastide is a researcher whose work sits at the intersection of robotics, human motor control, and rehabilitation engineering. His research focuses primarily on robotic exoskeleton technology and human sensorimotor adaptation, with particular emphasis on developing transparent control systems that minimize unwanted mechanical interference between humans and assistive devices. Bastide's most influential contribution, garnering 33 citations, introduced an identification-based method to improve exoskeleton transparency — a critical challenge in human-robot collaboration where the device must support users without distorting their natural movement. Complementing this, his work on quantifying transparency using force sensors and electromyographic measures provides practical tools for validating exoskeleton performance in clinical and operational contexts. A distinctive thread in his research explores how humans adapt motor patterns under non-Earth gravity conditions simulated by robotic exoskeletons. His studies, cited up to 11 times, reveal that the sensorimotor system can efficiently reoptimize joint-level strategies across a wide range of artificial gravity torques — findings with meaningful implications for both stroke rehabilitation and astronaut training in microgravity environments. Collectively, Bastide's work advances the design of more intuitive, human-centered assistive robotics.

Research Focus

Key Achievements

4
H-Index
4
Papers
54
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
An Identification-Based Method Improving the Transparency of a Robotic Upper Limb Exoskeleton
33 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Université d'Orléans, Complexité, Innovation et Activités Motrices et Sportives

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago