Workshop Program
Keynote Speaker: Prof. Ho Seok AHN
"Robots come to us"

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.
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
Bridging Clinical Needs and AI in Post-Stroke Rehabilitation: Patient Grouping, Adaptive Interventions, and Prognostic Assessment
Q&A and Discussion
Lunch Break
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
A Modular Robotic Platform for Rehabilitation of Hemispatial Inattention
More Than a Choice: Evaluating the Impact of Trainer Customization in HUGO, a NAO-Based Cognitive Training Platform
Fingertip tactile display of softness and roughness for virtual reality-based cognitive rehabilitation
A Hybrid Robotic and Mobile System to Promote Deep Breathing Exercise Adherence
Q&A and Discussion
Coffee Break
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
Contextual Reasoning in Healthcare Social Robotics: A Preliminary Study Using Multimodal Language Models
Comparing Fusion Strategies for Multimodal Emotion Prediction Using Deep Physiological Features
Adaptive Interaction Style Modulation via Reinforcement Learning and Prompted Language Generation
Q&A and Discussion