The aim of the present project is to study the kinematic features characterizing different human actions performed with different forms (i.e., gentle, enthusiastic, annoyed, rude) and to enable the iCub humanoid robot to express them with its own behaviour and detect them from visual observation of human actions. To quantitatively evaluate the impact on humans from behavioral and neural point of view, the project will leverage Real Time functional Magnetic Resonance Imaging technique (fMRI). Several robotic actions will be presented to healthy participants in order to study, in real time, the neural activity involved in the processing of these robotic actions. The research project will be carried out in collaboration with the University of Parma that is equipped with an advanced 3 Tesla MR scanner endowed with Real Time fMRI technology. The work will take advantage of an existing software module available on the iCub robot supporting the generation and detection of actions with different properties and will potentially improve it. The successful candidate will: 1) participate in the generation of iCub robot's actions characterized by different kinematic features and forms; 2) participate in the development of algorithms to detect action forms; 3) develop and test cognitive paradigms coupled with cortical and subcortical Real Time fMRI recordings; 4) compute brain activity maps from fMRI data.