1 citations · 1 across the 2 of their papers we have counts for
5 papers
Derivative-free online learning of inverse dynamics models
Diego Romeres, Mattia Zorzi, Raffaello Camoriano +2
This paper discusses online algorithms for inverse dynamics modelling in robotics. Several model classes including rigid body dynamics (RBD) models, data-driven models and semipara…
Online semi-parametric learning for inverse dynamics modeling
Diego Romeres, Mattia Zorzi, Raffaello Camoriano +1
This paper presents a semi-parametric algorithm for online learning of a robot inverse dynamics model. It combines the strength of the parametric and non-parametric modeling. The f…
On-line Bayesian System Identification
Diego Romeres, Giulia Prando, Gianluigi Pillonetto +1
We consider an on-line system identification setting, in which new data become available at given time steps. In order to meet real-time estimation requirements, we propose a tailo…
Classical vs. Bayesian methods for linear system identification: point estimators and confidence sets
D. Romeres, G. Prando, G. Pillonetto +1
This paper compares classical parametric methods with recently developed Bayesian methods for system identification. A Full Bayes solution is considered together with one of the st…
Identification of stable models via nonparametric prediction error methods
Diego Romeres, Gianluigi Pillonetto, Alessandro Chiuso
A new Bayesian approach to linear system identification has been proposed in a series of recent papers. The main idea is to frame linear system identification as predictor estimati…