Robot Systems for Rail Transit Applications
- 1st Edition - June 29, 2020
- Author: Hui Liu
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 2 9 6 8 - 2
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 2 9 4 0 - 8
Robot Systems for Rail Transit Applications presents the latest advances in robotics and artificial intelligence for railway systems, giving foundational principles and runnin… Read more
Robot Systems for Rail Transit Applications presents the latest advances in robotics and artificial intelligence 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.
- Introduces robot and artificial intelligence (AI) systems for rail transit applications
- Presents research alongside step-by-step coverage of real-world cases
- Gives the theoretical foundations underlying practical application
- Offers solutions for high-speed railways from the latest work in robotics
- Shows how robotics and AI systems afford new and efficient methods in rail transit
Researchers and graduate students in transportation engineering and applied robotics; engineers in applied robot systems and rail transit
Chapter 1: Introduction1.1 Overview of the rail transit robot systems1.2 Fundamental key problems of the rail transit robot systems1.2.1 Navigation and trajectory planning1.2.2 Human-machine interaction1.2.3 Power management1.3 Scope of this book1.4 References
Chapter 2: Rail transit assembly robot systems2.1 Overview of the rail transit assembly robot systems2.2 Hardware structures of the rail transit assembly robots2.3 Arm dynamics of the rail transit assembly robots2.3.1 Description of the arm postures2.3.2 Forward dynamics theory2.3.3 Inverse dynamics theory2.3.4 Trajectory planning of the robot arms2.4 Inverse dynamic computation based on artificial neural networks2.5 References
Chapter 3: Rail transit collaborative robot systems3.1 Overview of the rail transit collaborative robot systems3.2 Hardware structures of the rail transit collaborative robots3.3 Visual perceptions of the rail transit collaborative robots3.3.1 Feature extraction algorithms3.3.2 Target detection of the rail transit collaborative robots3.3.3 Target tracking of the rail transit collaborative robots3.4 References
Chapter 4: Automatic Guided Vehicles (AGV) in rail transit intelligent manufacturing environment4.1 Overview of the AGV in intelligent manufacturing environment4.2 Hardware structure of the AGV in intelligent manufacturing environment4.3 AGV systems4.3.1 Navigation methods of the AGV4.3.2 Route-planning algorithms of the AGV4.3.3 Human-robot interaction in the rail transit manufacturing environment4.3.4 Tasks assignments of the AGV systems4.4 Hybrid model based AGV route-planning in the rail transit manufacturing environment4.5 References
Chapter 5 Autonomous Rail Rapid Transit (ART)5.1 Overview of the ART5.2 Hardware structure of the ART5.3 ART systems5.3.1 Road traffic interaction systems of the ART5.3.2 Navigation systems of the ART5.3.3 Communication Systems of the ART5.3.4 Scheduling management systems of the ART5.4 Pedestrian detection algorithms for the intelligent driving5.5 References
Chapter 6 Rail transit inspection robots6.1 Overview of the rail transit inspection robots6.2 Hardware structures of the rail transit inspection robots6.3 Rail transit inspection robot systems6.3.1 Positioning and navigation methods of the rail transit inspection robots6.3.2 Path planning algorithms of the rail transit inspection robots6.3.3 Hand eye vision systems of the rail transit inspection robots6.4 References
Chapter 7 Rail transit channel robot systems7.1 Overview of rail transit channel robot systems7.2 Hardware structures of the rail transit channel robots7.3 Channel robot TEDS intelligent sensing systems7.4 Bogie fault diagnosis based on deep learning models7.5 References
Chapter 8 Rail Transit Inspection Unmanned Aerial Vehicle (UAV)8.1 Overview of rail transit inspection UAV8.2 Hardware structures of the rail traffic inspection UAV8.3. Rail transit inspection UAV systems8.3.1 Communication systems of the rail transit inspection UAV8.3.2 Data collection systems of the rail transit inspection UAV8.3.3 Scheduling systems of the rail transit inspection UAV8.4 Rail transit Intruding detection based on the inspection UAV8.5 References
- Edition: 1
- Published: June 29, 2020
- Language: English
HL
Hui Liu
Hui Liu is a Professor of Robotics and Artificial Intelligence, at Central South University, China, as well as a Vice Dean of the Faculty of Traffic and Transportation Engineering, and Director of the Institute of Artificial Intelligence and Robotics (IAIR). He received a Ph.D. in Automation Engineering, and his habilitation, from Rostock University in Germany. He has published more than 70 papers, and holds over 50 patents.
Affiliations and expertise
Professor, Director of Institute of Artificial Intelligence and Robotics (IAIR), and Vice-dean, School of Traffic and Transportation Engineering, Central South University, Changsha, ChinaRead Robot Systems for Rail Transit Applications on ScienceDirect