Hand-assisted laparoscopic surgery is a Minimally Invasive Surgery technique that is based on the insertion of one surgeon’s hand inside the ab-dominal cavity. In this scenario, a robotic assistant can properly collaborate with the surgeon, working side by side with him/her. This paper presents a ro-botic system for this kind of technique, based on a cognitive architecture that makes possible an efficient collaboration with the surgeon, thanks to a better understanding of the environment and the learning mechanisms included. This architecture includes a hand gesture recognition module and two different au-tonomous movement of the robotic arms, one for the camera motion and the other for the tool movement. All of these modules take advantage of the cogni-tive learning mechanisms of the architecture, fitting their behavior to the current user and procedure.