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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(shū)目名稱(chēng)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(shū)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
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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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obots interact with humans more naturally. While several social robots mainly focus on human-robot communication, it is essential to investigate how collaborative robots, whose primary function is to perform various specialized tasks, e.g., pick and place, which require precise robotic motions, can
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https://doi.org/10.1007/978-1-349-20233-1raining for patients. Recent advancements in human-in-the-loop (HIL) optimization have significantly improved the control of these devices, fine-tuning the interaction between humans and robots. This has led to more personalized assistance for daily living activities and rehabilitation training. Our
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,A Child’s Memories of Tennyson,e, with the ankle storing energy during the stance phase and releasing it during push-off. Compromised ankle motion leads to abnormal gait patterns in various populations, including the elderly, stroke patients, and individuals with neurological disorders. External interaction through powered device
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,Idylls of the King 1859 – 1885,edistribute the applied loads to reduce the natural biomechanical efforts, while in the latter, they intervene with the pathological gaits to restore normalcy. Enhancing the wearer’s experience for device acceptance and favorable functional outcomes is paramount in both cases. Hence, the primary foc
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