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Titlebook: Robotic Computing on FPGAs; Shaoshan Liu,Zishen Wan,Yu Wang Book 2021 Springer Nature Switzerland AG 2021

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書目名稱Robotic Computing on FPGAs
編輯Shaoshan Liu,Zishen Wan,Yu Wang
視頻videohttp://file.papertrans.cn/832/831104/831104.mp4
叢書名稱Synthesis Lectures on Computer Architecture
圖書封面Titlebook: Robotic Computing on FPGAs;  Shaoshan Liu,Zishen Wan,Yu Wang Book 2021 Springer Nature Switzerland AG 2021
描述This book provides a thorough overview of the state-of-the-art field-programmable gate array (FPGA)-based robotic computing accelerator designs and summarizes their adopted optimized techniques. This book consists of ten chapters, delving into the details of how FPGAs have been utilized in robotic perception, localization, planning, and multi-robot collaboration tasks. In addition to individual robotic tasks, this book provides detailed descriptions of how FPGAs have been used in robotic products, including commercial autonomous vehicles and space exploration robots.
出版日期Book 2021
版次1
doihttps://doi.org/10.1007/978-3-031-01771-1
isbn_softcover978-3-031-00643-2
isbn_ebook978-3-031-01771-1Series ISSN 1935-3235 Series E-ISSN 1935-3243
issn_series 1935-3235
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Shaoshan Liu,Zishen Wan,Bo Yu,Yu Wangas an emergent component of a self-organizing nature. It is shown how this conception of human action might be applied to develop new perspectives on managing organizations that can improve our relations to ourselves, to each other and, most importantly, to our environment, offering new approaches t
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Shaoshan Liu,Zishen Wan,Bo Yu,Yu Wangmorphology, and pathology at various length scales. Finite element models were developed investigating the effect of cell orientation and morphology on the features of the PA power spectra over 100 MHz, where significant differences in the simulated and measured power spectra for various RBC orienta
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Shaoshan Liu,Zishen Wan,Bo Yu,Yu Wangion (ATR) by Otto [2] and Kretschmann [3] in 1968. It was not until 1983 that Liedberg and Nylander [4] reported the first practical sensing application of SPR for biomolecular detection. Since then, SPR biosensors have experienced rapid development in the last two decades and become a valuable plat
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Conclusion,FPGAs are a cost-effective and energy-efficient alternative before one type of accelerator reaches economies of scale. Third, compared to SoCs that have reached economies of scale, e.g., mobile SoCs, FPGAs deliver a significant performance advantage.
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