Workshop Program

10:30 - 10:45

Workshop Introduction

10:45 - 11:30

Keynote Speaker: Prof. Ho Seok AHN

"Robots come to us"

Foto di Prof. Ho Seok AHN

Ho Seok AHN is a senior lecturer, which is equivalent to Associate Professor at major universities abroad, at the Department of Electrical, Computer and Software Engineering, University of Auckland, New Zealand, since 2015. He received his B.S. degree in Information and Communication Engineering from Sungkyunkwan University, Republic of Korea, and his Ph.D. degree in Electrical Engineering and Computer science from Seoul National University, Republic of Korea, in 2005 and 2010, respectively. He was a senior researcher at Korea Institute of Industrial Technology (KITECH), Republic of Korea, from 2010 to 2012. He was a lecturer at University of Science & Technology (UST), Republic of Korea, from 2011 to 2012. He was a research scientist at Intelligent Robotics and Communication Laboratories, Department of Ambient Intelligence, Advanced Telecommunications Research Institute International (ATR), Japan, from 2012 to 2013. His research interests include social robots, cultural robots, Human-Robot Interaction, affective computing, artificial emotional systems, healthcare robots, intelligent interactive systems, facial robots, android robots, humanoid robots, intelligent service robots, and modular robot systems.

11:30 - 12:30

Session A – Adaptive and Personalized Human–Robot Interaction

This session explores strategies for shaping user interaction in an adaptive and personalized manner. The selected papers propose user-centered approaches that take into account their preferences, abilities, and needs, with the goal of making robotic interaction more natural, effective, and acceptable in care and rehabilitation programs.

A Modular REST-Based Framework for Human-in-the-Loop Robot-Assisted Personalized Rehabilitation in Neurodevelopmental Disorders

Marco De Luca, Davide De Tommaso, Davide Ghiglino, Anna Rita Fasolino, Porfirio Tramontana and Agnieszka Wykowska

Bridging Clinical Needs and AI in Post-Stroke Rehabilitation: Patient Grouping, Adaptive Interventions, and Prognostic Assessment

Adriano Scibilia, Giorgia Gatto, Alessandro Brusaferri, Matteo Lancini and Marco Caimmi

Q&A and Discussion

12:30 - 13:30

Lunch Break

13:30 - 15:30

Session B – Robotic Platforms and Enabling Technologies

This session explores the hardware and software solutions that form the foundation of robotic systems for assistance and rehabilitation. The papers presented illustrate new robotic platforms, wearable devices, and enabling technologies that enhance the autonomy, precision, and reliability of human-robot interaction in clinical and domestic settings.

Towards Adaptive Assistance: A Preliminary Architecture for Dynamic User Profiling in Social Robots

Ritesh Sharma, Allen Marshall, David Montgomery and Rose Gamble

A Modular Robotic Platform for Rehabilitation of Hemispatial Inattention

Roberto Soldi, Bruna Maria Vittoria Guerra, Stefania Sozzi, Francesco Lunghi, Lorenzo Vecchio, Leo Russo, Micaela Schmid and Stefano Ramat

More Than a Choice: Evaluating the Impact of Trainer Customization in HUGO, a NAO-Based Cognitive Training Platform

Erica Chinzer, Caterina Padulo, Beth Fairfield and Onofrio Gigliotta

Fingertip tactile display of softness and roughness for virtual reality-based cognitive rehabilitation

Gabriele Frediani and Federico Carpi

A Hybrid Robotic and Mobile System to Promote Deep Breathing Exercise Adherence

Elie Maalouly, Alessandra Rossi and Silvia Rossi

Q&A and Discussion

12:30 - 13:30

Coffee Break

16:00 - 17:45

Session C – Artificial Intelligence in Assistive Robotics

This session explores the role of artificial intelligence in assistive robotics, with a focus on the development of algorithms and models that enable robots to learn from data and adapt to changing environments. The selected papers present innovative approaches to AI-based assistive robotics, including machine learning, computer vision, and natural language processing.

On the Transferability of Multi-Agent DRL architecture for a Physics-based Model of a Lower-Limb Amputee Across Varied Locomotion Environments

Lorenza Cotugno, Matthia Sabatelli, Roberta Siciliano and Raffaella Carloni

Contextual Reasoning in Healthcare Social Robotics: A Preliminary Study Using Multimodal Language Models

Luca Pallonetto, Luigi D'Arco and Silvia Rossi

Comparing Fusion Strategies for Multimodal Emotion Prediction Using Deep Physiological Features

Fatemeh Rahimi, Christian Tamantini, Andrea Orlandini, Francesca Fracasso and Roberta Siciliano

Adaptive Interaction Style Modulation via Reinforcement Learning and Prompted Language Generation

Christian Tamantini, Gloria Beraldo, Alessandro Umbrico and Andrea Orlandini

Q&A and Discussion

17:45 - 18:00

Closing