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Titlebook: Discovering the Frontiers of Human-Robot Interaction; Insights and Innovat Ramana Vinjamuri Book 2024 The Editor(s) (if applicable) and The

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書目名稱Discovering the Frontiers of Human-Robot Interaction
副標(biāo)題Insights and Innovat
編輯Ramana Vinjamuri
視頻videohttp://file.papertrans.cn/285/284783/284783.mp4
概述Encourages cross-cut collaborations and establishes best practices for Human-Robot Interaction.Describes human-robot collaboration inspired by human-human collaboration, BCI, and emotional intelligent
圖書封面Titlebook: Discovering the Frontiers of Human-Robot Interaction; Insights and Innovat Ramana Vinjamuri Book 2024 The Editor(s) (if applicable) and The
描述.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 groundbre
出版日期Book 2024
關(guān)鍵詞Human-Robot Interaction; Human-Robot Collaboration; Brain-Computer Interface; Emotional Intelligent Per
版次1
doihttps://doi.org/10.1007/978-3-031-66656-8
isbn_softcover978-3-031-66658-2
isbn_ebook978-3-031-66656-8
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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obot team is overall better compared to a baseline with no shared mental models. In this work, we expand on this insight by introducing proactive behaviors in addition to shared mental models to investigate potential further improvements of team performance and task efficiency. We developed a set of
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