Simone Macciò

University of Genoa | UNIGE · Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi (DIBRIS)

Surgical robotics may use augmented reality (AR) to provide surgeons with contextual information during operations. Relevant information to show to the surgeon are soft-tissue deformations. However, real-time computation of soft-tissue deformations is challenging with current techniques. A novel approach is proposed using Machine Learning (ML) to e...

This article presents an open-source architecture for conveying robots' intentions to human teammates using Mixed Reality and Head-Mounted Displays. The architecture has been developed focusing on its modularity and re-usability aspects. Both binaries and source code are available, enabling researchers and companies to adopt the proposed architectu...

Close human-robot interaction (HRI), especially in industrial scenarios, has been vastly investigated for the advantages of combining human and robot skills. For an effective HRI, the validity of currently available human-machine communication media or tools should be questioned, and new communication modalities should be explored. This article pro...

This paper proposes a novel software architecture for generalized scenarios of human-robot collaboration, in which a Digital Twin mirrors, monitors, and guides the interaction in real time, while Mixed Reality is used as a medium to ensure intuitive communication between agents involved.

Close human-robot interaction (HRI), especially in industrial scenarios, has been vastly investigated for the advantages of combining human and robot skills. For an effective HRI, the validity of currently available human-machine communication media or tools should be questioned, and new communication modalities should be explored. This article pro...

Humans engaged in collaborative activities are naturally able to convey their intentions to teammates through multi-modal communication, which is made up of explicit and implicit cues. Similarly, a more natural form of human-robot collaboration may be achieved by enabling robots to convey their intentions to human teammates via multiple communicati...

Humans engaged in collaborative activities are naturally able to convey their intentions to teammates through multi-modal communication, which is made up of explicit and implicit cues. Similarly, a more natural form of human-robot collaboration may be achieved by enabling robots to convey their intentions to human teammates via multiple communicat...