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Full Description
The field of Human-Robot Interaction (HRI) is rapidly evolving, blurring the lines between human and machine capabilities. Recent advances in computer science, computer vision, artificial intelligence, robotics, brain-computer interfaces, neural engineering, and cognitive science have profoundly transformed HRI. As we stand on the threshold of a new era characterized by increasingly sophisticated human-machine interactions, it becomes imperative to explore the emerging frontiers of this dynamic field. Robots are now entering homes, workplaces, and even battlefields, necessitating a deeper understanding of effective, safe, and ethical human-robot interaction. This book delves into cutting-edge research shaping the future of HRI, representing a collective effort to navigate uncharted territories. Through diverse chapters authored by leading experts, it offers a comprehensive exploration of the latest developments, challenges, and opportunities in HRI. By examining technical, engineering, and methodological challenges, this volume brings together perspectives from researchers, engineers, and designers to provide a comprehensive view of this dynamic field. Aiming to showcase groundbreaking research and spark interdisciplinary dialogue and collaboration, this book is a valuable resource for researchers, engineers, students, and anyone interested in the future of human-robot collaboration. Whether you are a seasoned roboticist, a curious student, or simply interested in future technology, this book offers insights and knowledge to navigate the complex world of human-robot interaction. Join us on this journey of discovery as we navigate the emerging frontiers of human-robot interaction together.
Contents
Towards Genuine Robot Teammates: Improving Human-Robot Team Performance Beyond Shared Mental Models with Proactivity.- Speech-based Communication for Human-Robot Collaboration: Evaluation Studies.- Value Alignment and Trust in Human-Robot Interaction: Insights from Simulation and User Study.- Closing the loop between wearable robots and machine learning: a new paradigm for steering assistance personalization control.- New Horizons in Human-Robot Interaction: Synergy, Cognition, and Emotion.- High-level Framework in Wearable Exosuits involving Virtual Reality and Human-Robot Intent Interaction for Gait Intervention.- Active-Passive Exoskeletons for Assistive and Resistive Interventions in Human Walking.- Hydrodynamics of Microrobots: Effect of Confinement and Collisions.- Development of Fuzzy Controller for a Flexible Bevel-Tip Needle in Percutaneous Interventional Procedures.- Evolving Trends and Future Prospects of Transformer Models in EEG-based Motor-Imagery BCI Systems.- Estimating Grasp Pose using Deep Learning Architectures for Intelligent Robotic Manipulation.- Visual Affordance Recognition: A Study on Explainability and Interpretability for Human Robot Interaction.- Experimental Verification of Force-assistive Optimal Variable Admittance Control of Haptic Systems.- Experimental Design Principles for Developing Machine Learning Models for Human-Robot Interaction.- Electrophysiological Measures for Human-Robot Collaboration Quality Assessment.- Design of a Virtual Chatbot platform for basic needs communication through Imagined Speech BCI.- Human-Robot Interaction in Biopsy Procedures: A Biomimetic Dual-Sheath Needle Design Inspired by Insect Ovipositor Mechanics.- Explainable AI Methods for Interpreting Emotions in Brain-Computer Interface EEG Data.- Robot Control via Natural Instructions Empowered by Large Language Model.- Emotion Awareness in Humanoids: Human Facial Expressions Recognition Using Deep CNN Models.- Scheduling Robotic Collaboration based on Human Motion Analysis.
