2 citations · 4 across the 6 of their papers we have counts for
6 papers
IFRA: a machine learning-based Instrumented Fall Risk Assessment Scale derived from Instrumented Timed Up and Go test in stroke patients
Simone Macciò, Alessandro Carfì, Alessio Capitanelli +4
Background/Objectives: Falls represent a major health concern for stroke survivors, necessitating effective risk assessment tools. This study proposes the Instrumented Fall Risk As…
Investigating Mixed Reality for Communication Between Humans and Mobile Manipulators
Mohamad Shaaban, Simone Macci`o, Alessandro Carf`ı +1
This article investigates mixed reality (MR) to enhance human-robot collaboration (HRC). The proposed solution adopts MR as a communication layer to convey a mobile manipulator's i…
Kinesthetic Teaching in Robotics: a Mixed Reality Approach
Simone Macci`o, Mohamad Shaaban, Alessandro Carf`ı +1
As collaborative robots become more common in manufacturing scenarios and adopted in hybrid human-robot teams, we should develop new interaction and communication strategies to ens…
RICO-MR: An Open-Source Architecture for Robot Intent Communication through Mixed Reality
Simone Macciò, Mohamad Shaaban, Alessandro Carfì +2
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 devel…
Gestural and Touchscreen Interaction for Human-Robot Collaboration: a Comparative Study
Antonino Bongiovanni, Alessio De Luca, Luna Gava +8
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,…
Mixed Reality as Communication Medium for Human-Robot Collaboration
Simone Macciò, Alessandro Carfì, Fulvio Mastrogiovanni
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 c…