Abstract
It is well known that robust estimation provides an alternative approach to classical methods which is not unduly affected by the presence of outliers. Recently, these robust estimators have been considered for models with functional data. In this talk, we focus on asymptotic properties of a conditional nonparametric estimation of a real valued variable with a functional covariate. We present results dealing with convergence in probability, asymptotic normality and L-q errors.