About

Dorian Verdel is a researcher specializing in human-robot interaction, motor control, and robotic exoskeleton design, with a particular focus on making assistive technologies more intuitive and responsive to human movement. His work sits at the intersection of neuroscience, biomechanics, and control engineering, addressing fundamental questions about how humans adapt to and collaborate with robotic systems. Verdel's most influential contribution, garnering 33 citations, introduced an identification-based method to improve exoskeleton transparency — reducing the mechanical interference a robot imposes on natural human movement. This work, complemented by EMG-based measurement approaches, laid important groundwork for more seamless human-robot collaboration. His research has also explored how humans reoptimize motor patterns under altered gravity conditions simulated by exoskeletons, offering insights relevant to both rehabilitation and space exploration contexts. More recently, Verdel has advanced sophisticated control frameworks, including inverse differential game theory and model predictive game control, to deliver personalized, anticipatory robotic assistance. His investigations into movement vigor — how individuals trade off time, effort, and accuracy — further deepen our understanding of motor planning in both solo and physically coupled interactions. With over 85 cumulative citations across his growing publication record, Verdel is emerging as a distinctive voice bridging theoretical motor science with applied robotics engineering.

Research Focus

Key Achievements

4
H-Index
9
Papers
85
Total Citations
9
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: 12
🏛 Institutions: Université d'Orléans, Complexité, Innovation et Activités Motrices et Sportives, Imperial College London

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago