Papers

4

Total Citations

42

H-Index

3

About

Florent Di Meglio is a leading researcher in legged robotics, with a focus on state estimation, flexible dynamics, and rehabilitation exoskeletons. His work addresses the critical challenge of accurately estimating a robot’s state when its structure undergoes multiple deformations—a common issue in real-world walking machines. Di Meglio pioneered velocity-aided IMU attitude estimators, such as the MOVIE framework, which enables robust observation and control of deformations during dynamic locomotion. His kinematic approach to state estimation for legged robots with internal flexibilities has been widely recognized, with his most cited paper accumulating 20 citations. Beyond theoretical advances, Di Meglio has translated his expertise into impactful applications, notably contributing to the control architecture of the Atalante lower-limb exoskeleton. This work enables safe, patient-driven walking rehabilitation, allowing individuals with walking impairments to actively contribute to their gait. By bridging estimation theory and practical rehabilitation robotics, Di Meglio’s research not only advances the fundamental understanding of flexible-legged systems but also directly improves assistive technologies for human mobility.

Research Focus

Key Achievements

3
H-Index
4
Papers
42
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
MOVIE: A Velocity-Aided IMU Attitude Estimator for Observing and Controlling Multiple Deformations on Legged Robots
20 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: ParisTech, École Nationale Supérieure des Mines de Paris, Université Paris Sciences et Lettres

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago