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Infrastructure Robotics: Methodologies, Robotic Systems and Applications (IEEE Press Series on Systems Science and Engineering) PDF

435 Pages·2023·14 MB·English
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by Dikai Liu| 2023| 435 pages| 14| English

About Infrastructure Robotics: Methodologies, Robotic Systems and Applications (IEEE Press Series on Systems Science and Engineering)

Illuminating resource presenting commonly used robotic methodologies and technologies, with recent developments and clear application examples across different project types Infrastructure Robotics presents state-of-the-art research in infrastructure robotics and key methodologies that enable the development of intelligent robots for operation in civil infrastructure environments, describing sensing, perception, localization, map building, environmental and operation awareness, motion and task planning, design methodologies, robot assistance paradigms, and physical human-robot collaboration. The text also presents many case studies of robotic systems developed for real-world applications in maintaining various civil infrastructures, including steel bridges, tunnels, underground water mains, underwater structures, and sewer pipes. In addition, later chapters discuss lessons learned in deployment of intelligent robots in practical applications overall. Infrastructure Robotics provides a timely and thorough treatment of the subject pertaining to recent developments, such as computer vision and machine learning techniques that have been used in inspection and condition assessment of critical civil infrastructures, including bridges, tunnels, and more. Written by highly qualified contributors with significant experience in both academia and industry, Infrastructure Robotics covers topics such Infrastructure Robotics is an essential resource for researchers, engineers, and graduate students in related fields. Professionals in civil engineering, asset management, and project management who wish to be on the cutting edge of the future of their industries will also benefit from the text.

Detailed Information

Author:Dikai Liu
Publication Year:2023
ISBN:9781394162840
Pages:435
Language:English
File Size:14
Format:PDF
Price:FREE
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