collaborators

6 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.RO2026

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…