7 citations · 7 across the 6 of their papers we have counts for
7 papers · 1 filter
User-Tailored Learning to Forecast Walking Modes for Exosuits
Gabriele Abbate, Enrica Tricomi, Nathalie Gierden +3
Assistive robotic devices, like soft lower-limb exoskeletons or exosuits, are widely spreading with the promise of helping people in everyday life. To make such systems adaptive to…
Hearing the Robot's Mind: Sonification for Explicit Feedback in Human-Robot Interaction
Simone Arreghini, Antonio Paolillo, Gabriele Abbate +1
Social robots are required not only to understand human intentions but also to effectively communicate their intentions or own internal states to users. This study explores the use…
Learning Hand State Estimation for a Light Exoskeleton
Gabriele Abbate, Alessandro Giusti, Luca Randazzo +1
We propose a machine learning-based estimator of the hand state for rehabilitation purposes, using light exoskeletons. These devices are easy to use and useful for delivering domes…
A Service Robot in the Wild: Analysis of Users Intentions, Robot Behaviors, and Their Impact on the Interaction
Simone Arreghini, Gabriele Abbate, Alessandro Giusti +1
We consider a service robot that offers chocolate treats to people passing in its proximity: it has the capability of predicting in advance a person's intention to interact, and to…
Predicting the Intention to Interact with a Service Robot:the Role of Gaze Cues
Simone Arreghini, Gabriele Abbate, Alessandro Giusti +1
For a service robot, it is crucial to perceive as early as possible that an approaching person intends to interact: in this case, it can proactively enact friendly behaviors that l…
A Sim-to-Real Deep Learning-based Framework for Autonomous Nano-drone Racing
Lorenzo Lamberti, Elia Cereda, Gabriele Abbate +7
Autonomous drone racing competitions are a proxy to improve unmanned aerial vehicles' perception, planning, and control skills. The recent emergence of autonomous nano-sized drone…