Most of vision-based algorithms for motion and localization estimation requires matching some interest points in a pair of images. After building feature correspondence, it is pos...
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
In this work we present and discuss in detail a novel vector-valued regression technique: our approach allows for an all-at-once estimation, as opposed to solve a number of scalar...
Luca Baldassarre, Annalisa Barla, Barbara Gianesin...
—A major issue in the field of human-robot interaction for assistance to manipulation is transparency. This basic feature qualifies the capacity for a robot to follow human mov...
— Service robots designed for domestic settings need to navigate in an environment that they have to share with their users. Thus, they have to be able to report their current st...