CV

One of the main pillars of my research focuses on developing mechanical behavior models for structures such as machine tools, industrial robots, and parts, along with identifying related parameters. My approach is grounded in mechanical principles using vector-based formalisms, aiming to simulate task performance (in terms of quality and time) while minimizing parameter complexity. A key aspect of this work is model calibration based on real task conditions, ensuring optimal predictive accuracy by identifying influential parameters.

As a researcher, I have recognized expertise in geometric and dynamic modeling and identification of both serial and parallel industrial robots and machines. This includes the use of multi-body models (rigid and flexible). 

Experimentally, I’ve gained expertise in various metrology tools applied to processes such as machining, polishing, pick-and-place, and additive manufacturing. My current research expands into over-constrained parallel robots (rigid and cable-driven), new trajectory generation laws (especially in co-manipulation and additive manufacturing), and the control of part geometry during production.