Personalized and Adaptive Cognitive Human-Robot Interaction with a Novel Fuzzy Logic Control and Reinforcement Learning-Based Paradigm: Master Thesis Report

An aging population puts a pressure on health-care workers working with dementia patients globally. A potential solution is to provide care with Socially Assistive Robots (SARs), i.e. robots who help people through social interaction. However, for effective care these SARs must be able to personalize their behavior to individual patients and...

Mathematical Modelling of Theory of Mind: Enabling Socially Assistive Robots to understand and predict humans in long-term interactions

Socially Assistive Robots (SARs) i.e., robots that assist humans through social interactions with them, have shown potential to improve the quality of life of their users. Nonetheless, the state-of-the-art SARs face challenges that prevent them from or limit them in assisting humans in the real world. Although current SARs display cues that...

Adaptive Fuzzy Logic Control Applied to Socially Assistive Drones: A Case Study

With the number of diagnosed cases rising every year, Autism Spectrum Disorder (ASD) is in need of novel therapeutic approaches to counteract the social and motor impairments inflicted by it. In this research, one of such therapeutic approaches, movement therapy (in particular Dance Movement Therapy (DMT)), is combined with the concept of...