activity
20132026
most citedMemory of Motion for Warm-starting Trajectory Optimization

39 citations · 84 across the 20 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.RO2024

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…

cs.RO2024

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…

cs.OS2024★ 1 cited

Exact schedulability test for sporadic mixed-criticality real-time systems using antichains and oracles

Simon Picard, Antonio Paolillo, Gilles Geeraerts +1

This work addresses the problem of exact schedulability assessment in uniprocessor mixed-criticality real-time systems with sporadic task sets. We model the problem by means of a f…

cs.RO2024

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…

cs.RO2024

Systematic analysis of requirements for socially acceptable service robots

Andrea Ruo, Simone Arreghini, Luca Capra +13

In modern society, service robots are increasingly recognized for their wide range of practical applications. In large and crowded social spaces, such as museums and hospitals, the…

cs.RO2024

Imitation Learning-based Direct Visual Servoing using the Large Projection Formulation

Sayantan Auddy, Antonio Paolillo, Justus Piater +1

Today robots must be safe, versatile, and user-friendly to operate in unstructured and human-populated environments. Dynamical system-based imitation learning enables robots to per…

cs.RO2024

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…