New Horizons in Human–Robot Interaction: Synergy, Cognition, and Emotion

This chapter examines key methodologies and case studies in human–robot interaction (HRI), emphasizing three core areas that are transforming this field: advanced synergy model-based HRI techniques, brain–computer interfaces (BCIs), and emotional intelligence in robotics. We explore how synergy-based models and human-in-the-loop dynamics facilitate effective interactions and how BCIs contribute to cognition and stress identification. Additionally, we investigate how emotional intelligence can enhance robots’ ability to understand and react to human emotions. Collectively, these domains illustrate the evolving landscape of HRI, where multimodal approaches are essential for developing systems that are both adaptive and capable of complex interactions with humans. This study aims to deepen the understanding of these interactions and pave the way for future innovations in the field.