Название: Robot Systems for Rail Transit Applications Автор: Hui Liu Издательство: Elsevier Год: 2020 Страниц: 409 Язык: английский Формат: pdf (true) Размер: 10.1 MB
Robot Systems for Rail Transit Applications presents the latest advances in robotics and Artificial Intelligence (AI) for railway systems, giving foundational principles and running through special problems in robot systems for rail transit. State-of-the art research in robotics and railway systems is presented alongside a series of real-world examples. Eight chapters give definitions and characteristics of rail transit robot systems, describe assembly and collaborative robots in manufacturing, introduce automated guided vehicles and autonomous rail rapid transit, demonstrate inspection robots, cover trench robots, and explain unmanned aerial vehicles. This book offers an integrated and highly-practical way to approach robotics and Artificial Intelligence in rail-transit.
Rail transit robots involve the intersection of automatic control, artificial intelligence, signal processing, pattern recognition, mechanical engineering, and transportation engineering. When applied to the rail transit system, the robot is faced with the key problems to be solved urgently. Therefore, rail transit robots are currently recognized as research hotspots among scientific problems. Based on research from the past 10 years, the author puts forward a framework of rail transit robot technology and completes the related work.
This book covers seven mainstream rail transit robots, including assembly robots, collaborative robots, automated guided vehicles, autonomous rail rapid transit, inspection robots, channel robots, and inspection unmanned aerial vehicles. The key problems of robots are described in detail, including positioning navigation, path planning, humanerobot interaction, and power management, etc. For students and managers in related departments, this book can provide valuable information about rail transit robots. For researchers and doctoral students, this book can provide some ideas and encourage future research in rail transit robots.
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