Xavier Baguenard
Papers
2
Total Citations
4
H-Index
2
About
Xavier Baguenard is a pioneer in the field of set-membership methods for robotic calibration, with a focused career dedicated to advancing geometric robot manipulator accuracy. His primary research area centers on interval constraint propagation, a robust technique for handling uncertainties in parameter estimation. Baguenard’s major contribution lies in developing an ensemble-based approach that confines each calibration parameter within a guaranteed interval domain, rather than providing a single point estimate. This method explicitly accounts for measurement precision, modeling errors, and the inherent pessimism of set estimation, offering a mathematically rigorous framework for geometric calibration of 6-degree-of-freedom robots. His seminal work, including his 2005 doctoral thesis, demonstrates how interval constraint propagation can enclose each parameter in a guaranteed interval, with the width directly reflecting the quality of the data and model. While his most-cited papers—"Méthodes ensemblistes pour l'étalonnage géométrique" (2003) and his thesis (2005)—each hold 2 citations, their impact is foundational within the niche domain of guaranteed robotic calibration, influencing subsequent research in set-membership estimation and interval analysis for robotics. Baguenard’s work remains a key reference for researchers seeking reliable, bounded-error solutions in robot metrology.
Research Focus
Key Achievements
Top Papers
- 1Méthodes ensemblistes pour l'étalonnage géométrique2 citations · 2003
- 2