軌道交通機(jī)器人應(yīng)用系統(tǒng)（英文版）

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作　者：	劉輝
出版社：	中南大學(xué)出版社有限責(zé)任公司
叢編項(xiàng)：
標(biāo)　簽：	暫缺

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ISBN：	9787548743378	出版時(shí)間：	2021-05-01	包裝：	平裝-膠訂
開(kāi)本：	16開(kāi)	頁(yè)數(shù)：	369	字?jǐn)?shù)：

內(nèi)容簡(jiǎn)介

　　內(nèi)容摘要：軌道交通機(jī)器人系統(tǒng)首次以書(shū)籍的形式介紹了軌道交通系統(tǒng)中機(jī)器人和人工智能的進(jìn)展，給出了軌道交通機(jī)器人系統(tǒng)的基本原理和運(yùn)行的特殊問(wèn)題。機(jī)器人技術(shù)和鐵路系統(tǒng)的研究與一系列實(shí)際案例一起呈現(xiàn)。八個(gè)章節(jié)給出了軌道交通機(jī)器人系統(tǒng)的定義和特點(diǎn)，描述了制造中的裝配和協(xié)作機(jī)器人、自動(dòng)引導(dǎo)車(chē)輛AGV、自主軌道快速交通ART、巡檢機(jī)器人、地溝機(jī)器人和無(wú)人機(jī)系統(tǒng)。這本書(shū)提供了一個(gè)綜合的和高度實(shí)用的方法來(lái)學(xué)習(xí)機(jī)器人和人工智能在軌道交通中的應(yīng)用。主要特點(diǎn)：介紹了應(yīng)用于軌道交通的機(jī)器人和人工智能（AI）系統(tǒng)。以實(shí)際案例的形式介紹領(lǐng)域的研究成果。給出了實(shí)際應(yīng)用背后的理論基礎(chǔ)。依托機(jī)器人的研究成果，為高速鐵路提供新的可能性。展示了機(jī)器人和人工智能系統(tǒng)如何為軌道交通提供新的和高效的解決方案。本書(shū)可作為交通運(yùn)輸工程和應(yīng)用機(jī)器人領(lǐng)域的研究生教材，也能為相關(guān)領(lǐng)域的研究人員和工程師提供重要參考。

作者簡(jiǎn)介

暫缺《軌道交通機(jī)器人應(yīng)用系統(tǒng)（英文版）》作者簡(jiǎn)介

圖書(shū)目錄

Contents
Chapter 1 Introduction 1
1.1 Overview of rail transit robots 1
1.2 Fundamental key problems of rail transit robot systems 19
1.3 Scope of this book 27
References 29
Chapter 2 Rail Transit Assembly Robot Systems 37
2.1 Overview of assembly robots 37
2.2 Main components of rail transit assembly robots 44
2.3 Arm dynamics of rail transit assembly robots 58
2.4 Arm inverse dynamic application of rail transit assembly robots 76
2.5 Conclusion and outlook 79
References 81
Chapter 3 Rail Transit Collaborative Robot Systems 85
3.1 Overview of collaborative robots 85
3.2 Main components of rail transit collaborative robots 101
3.3 Visual perceptions of rail transit collaborative robots 115
3.4 Conclusion and outlook 129
References 131
Chapter 4 Automatic Guided Vehicles (AGVs) in Rail Transit Intelligent
Manufacturing Environment1344.1Overview of AGVs 134
4.2 Main components of AGVs 139
4.3 Key technologies in AGVs 142
4.4 AGV path planning application in rail transit intelligent manufacturing
Environment 166
4.5 Conclusion and outlook 170
References 172
Chapter 5 Autonomous Rail Rapid Transit (ART) Systems179
5.1 Overview of AR T179
5.2 Main components of trams and ART 184
5.3 Key technologies in ART 196
5.4 Pedestrian detection algorithms for ART 203
5.5 Conclusion and outlook 216
References 218
Chapter 6 Rail Transit Inspection Robot Systems 223
6.1 Overview of rail transit inspection robots 223
6.2 Main components of rail transit inspection robots 229
6.3 Key technologies in rail transit inspection robots 242
6.4 Conclusion and outlook 259
References 261
Chapter 7 Rail Transit Channel Robot Systems 266
7.1 Overview of rail transit channel robots 266
7.2 Main components of rail transit channel robots 273
7.3 Channel robot TEDS 280
7.4 Bogie fault diagnosis based on deep learning 292
7.5 Conclusion and outlook 304
References 305
Chapter 8 Rail Transit Inspection Unmanned Aerial Vehicle (UAV) Systems 310
8.1 Overview of inspection UAVs 310
8.2 Main components of rail transit inspection UAVs 312
8.3 Key technologies in rail transit inspection UAVs 318
8.4 Rail transit intruding detection based on inspection UAVs 348
8.5 Conclusion and outlook 356
References 358
Nomenclature list 364