Roger Frigola
Universitat Politècnica de Catalunya, University of Cambridge
Papers
2
Total Citations
11
H-Index
2
About
Roger Frigola’s research lies at the intersection of robotics, sensor design, and advanced nonlinear system identification. His early work introduced a wrench-sensitive touch pad based on a parallel structure (2008, 6 citations), addressing critical limitations in six-component force sensors for high-accuracy robotic applications. This contribution helped advance the precision of tactile sensing in manipulation tasks. More notably, Frigola pioneered the integration of data pre-processing with Bayesian nonlinear system identification through his development of the GP-FNARX model (2013, 5 citations). By combining filtered regressors with sparse Gaussian processes, he created a powerful framework that seamlessly handles noisy, real-world data while maintaining computational efficiency. This work bridges the gap between traditional system identification and modern machine learning, offering a principled Bayesian approach to modeling complex dynamical systems. Though his citation counts reflect a focused, emerging impact, Frigola’s contributions are particularly valued by researchers working on robotic force sensing and data-driven modeling of nonlinear systems—fields where accuracy and robustness are paramount.
Research Focus
Key Achievements
Top Papers
- 1A wrench-sensitive touch pad based on a parallel structure6 citations · 2008
- 2