activity
20242026
collaborators

8 papers

cs.RO2026

Factorized Spatio-Temporal Convolutions for Human Pose Estimation from Planar Lidar

Simone Arreghini, Mirko Nava, Nicholas Carlotti +2

Localizing nearby humans and estimating their facing direction are key capabilities for safe navigation and socially aware human-robot interaction. Many pose-estimation pipelines t…

cs.RO2026

Towards Real-World Applications with an Autonomous Powered Wheelchair

Simone Arreghini, Alessandro Giusti, Alex Bordini +3

Wheelchair users call for assistive mobility systems that provide active support, adapt to dynamic environments, and are intuitive and user-friendly. However, powered wheelchairs t…

cs.RO2026

Exploring Human-Robot Collaboration: Analysis of Interaction Modalities in Challenging Tasks

Simone Arreghini, Cristina Iani, Alessandro Giusti +3

This work compares three interaction modalities for human-robot collaboration: passive, reactive, and proactive. We studied 18 participants assembling a seven-layer colored tower f…

cs.RO2025

Sixth-Sense: Self-Supervised Learning of Spatial Awareness of Humans from a Planar Lidar

Simone Arreghini, Nicholas Carlotti, Mirko Nava +2

Reliable localization of people is fundamental for service and social robots that must operate in close interaction with humans. State-of-the-art human detectors often rely on RGB-…

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

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

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…