No abstract

Imaging has revolutionized surgery over the last 50 years. Diagnostic imaging is a key tool for deciding to perform surgery during disease management; intraoperative imaging is one of the primary drivers for minimally invasive surgery (MIS), and postoperative imaging enables effective follow up and patient monitoring. However, notably there is still relatively little interchange of information or imaging modality fusion between these different clinical pathway stages. This book chapter provides a critique of existing augmented reality (AR) methods or application studies described in the literature using relevant examples. The aim is not to provide a comprehensive review, but rather to give an indication of the clinical areas in which AR has been proposed, to begin to explain the lack of clinical systems and to provide some clear guidelines to those intending pursue research in this area.

In this paper, we present the first steps towards a new concept of robot self-awareness that can be implemented into embodied robot systems. Our concept of "the self" is inspired by already existing approaches and aims to provide a cognitive system with meta-cognitive capabilities. We believe that robot self-awareness is a crucial factor in the improvement of HRI.