Robot Systems For Rail Transit Applications

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

This book will help you understand the fundamentals of robotics and telerobotics for the space environment. It will point out what the robotic systems can and can't do. Examples of systems and case study's and design examples will be presented.We will review the basics and definitions of robotic and telerobotic systems, as well as the unique characteristics of the space environment to determine where the trade-offs lie. We will compare and contrast with underwater, military, commercial, hazmat and other terrestrial systems. We will not discuss CAD/CAM or manufacturing, which probably makes up 90% of the applications of robotics on Earth. We will review system level components, and discuss sensors, power sources, actuators, and computation and communication systems. Actuators will include tools and grippers. Necessarily, we will discuss simulation, task planning, guided autonomy, and autonomous systems, as well as system models. Today's robot systems are deaf, blind and stupid. And, we expect them to operate in an unstructured environment. But, they are getting better, as technology advances. Robotics are handicapped. in terms of mobility and manipulation, sensory input, cognitive processing, learning and the application of experience. However, they have better computational capability, better communications capability, fewer environmental constraints, and, certainly, fewer ethical issues. (Leaving aside the issue of military armed robots). Over 150 references are included

The integration of applied intelligence with software has been an essential enabler for science and the new economy, creating new possibilities for a more reliable, flexible and robust society. But current software methodologies, tools, and techniques often fall short of expectations, and are not yet sufficiently robust or reliable for a constantly changing and evolving market. This book presents the proceedings of SoMeT_22, the 21st International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques, held from 20 - 22 September 2022 in Kitakyushu, Japan. The SoMeT conference provides a platform for the exchange of ideas and experience in the field of software technology, with the emphasis on human-centric software methodologies, end-user development techniques, and emotional reasoning for optimal performance. The 58 papers presented here were each carefully reviewed by 3 or 4 referees for technical soundness, relevance, originality, significance and clarity, they were then revised before being selected by the international reviewing committee. The papers are arranged in 9 chapters: software systems with intelligent design; software systems security and techniques; formal techniques for system software and quality assessment; applied intelligence in software; intelligent decision support systems; cyber-physical systems; knowledge science and intelligent computing; ontology in data and software; and machine learning in systems software. The book assembles the work of scholars from the international research community to capture the essence of the new state-of-the-art in software science and its supporting technology, and will be of interest to all those working in the field.

This book presents the proceedings of ICITS 2022 covering different tracks in the field of Sports Engineering and Technology, namely, Instrumentation, Materials, Data Analytics, Biomechanics, Simulation, Equipment Design and Performance Analysis, amongst others. This collection of articles deliberates the key challenges as well as technological innovations that facilitate the enhancement of sporting performance. The readers are expected to gain an insightful view on the current trends, issues, mitigating factors, technological innovations as well as proposed solutions. ​

This book constitutes the refereed proceedings of the 16th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2022, which took place in Thessaloniki, Greece, in December 2022. The 45 full papers included in this volume were carefully reviewed and selected from 120 submissions. The papers are organized in the following topical sections: personal informatics and wearable devices; computer vision; IoT-HR: Internet of things in health research; pervasive health for COVID-19; machine learning, human activity recognition and speech recognition; software frameworks and interoperability; facial recognition, gesture recognition and object detection; machine learning, predictive models and personalised healthcare; human-centred design of pervasive health solutions; personalized healthcare.

What Is Autonomous Rail Rapid Transit For the purpose of urban passenger transportation, the Autonomous Rail Rapid Transit system is a LiDAR-guided articulated bus system. On June 2, 2017, it was shown to the public in Zhuzhou, which is located in Hunan province. It was developed by CRRC Zhuzhou Institute Co Ltd. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Autonomous Rail Rapid Transit Chapter 2: Shanghai Metro Chapter 3: Shenzhen Metro Chapter 4: Tianjin Metro Chapter 5: Wuhan Metro Chapter 6: Chongqing Rail Transit Chapter 7: Chengdu Metro Chapter 8: Urban rail transit in China Chapter 9: Automatic train operation Chapter 10: Public transport in Shanghai Chapter 11: Ningbo Rail Transit Chapter 12: Kunming Metro Chapter 13: Foshan Metro Chapter 14: Nanning Metro Chapter 15: Trams in China Chapter 16: Shenzhen Tram Chapter 17: Wenzhou rail transit Chapter 18: Trams in Wuhan Chapter 19: Tianshui Tram Chapter 20: Line 2 (Chengdu Tram) Chapter 21: Shanghai Rail Transit (II) Answering the public top questions about autonomous rail rapid transit. (III) Real world examples for the usage of autonomous rail rapid transit in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of autonomous rail rapid transit' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of autonomous rail rapid transit.

Infrastructure Robotics 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 as: Design methods for application of robots in civil infrastructure inspired by biological systems including ants, inchworms, and humans Fundamental aspects of research on intelligent robotic co-workers for human-robot collaborative operations The ROBO-SPECT European project and a robotized alternative to manual tunnel structural inspection and assessment Wider context for the use of additive manufacturing techniques on construction sites 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.

This book presents the proceedings of the 2020 International Conference on Intelligent Systems Applications in Multi-modal Information Analytics, held in Changzhou, China, on June 18–19, 2020. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. It addresses a number of broad themes, including data mining, multi-modal informatics, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and a useful reference guide for newcomers to the field.