Intelligent Equipment, Robots, and Vehicles

Intelligent Equipment, Robots, and Vehicles

Author: Qinglong Han

Publisher: Springer Nature

Published: 2021-10-22

Total Pages: 841

ISBN-13: 981167213X

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The three-volume set CCIS 1467, CCIS 1468, and CCIS 1469 constitutes the thoroughly refereed proceedings of the 7th International Conference on Life System Modeling and Simulation, LSMS 2021, and of the 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021, held in Hangzhou, China, in October 2021. The 159 revised papers presented were carefully reviewed and selected from over 430 submissions. The papers of this volume are organized in topical sections on: Medical Imaging and Analysis Using Intelligence Computing; Biomedical signal processing, imaging, visualization and surgical robotics; Computational method in taxonomy study and neural dynamics; Intelligent medical apparatus, clinical applications and intelligent design of biochips; Power and Energy Systems; Computational Intelligence in Utilization of Clean and Renewable Energy Resources, and Intelligent Modelling, Control and Supervision for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Control Methods in Energy Infrastructure Development and Distributed Power Generation Systems; Intelligent Modeling, Simulation and Control of Power Electronics and Power Networks; Intelligent Techniques for Sustainable Energy and Green Built Environment, Water Treatment and Waste Management; Intelligent Robot and Simulation; Intelligent Data Processing, Analysis and Control in Complex Systems; Advanced Neural Network Theory and Algorithms; Advanced Computational Methods and Applications; Fuzzy, Neural, and Fuzzy-neuro Hybrids; Intelligent Modelling, Monitoring, and Control of Complex Nonlinear Systems; Intelligent manufacturing, autonomous systems, intelligent robotic systems; Computational Intelligence and Applications.


Mechatronics and Intelligent Systems for Off-road Vehicles

Mechatronics and Intelligent Systems for Off-road Vehicles

Author: Francisco Rovira Más

Publisher: Springer Science & Business Media

Published: 2010-11-30

Total Pages: 280

ISBN-13: 1849964688

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Rapid developments in electronics over the past two decades have induced a move from purely mechanical vehicles to mechatronics design. Recent advances in computing, sensors, and information technology are pushing mobile equipment design to incorporate higher levels of automation under the novel concept of intelligent vehicles. Mechatronics and Intelligent Systems for Off-road Vehicles introduces this concept, and provides an overview of recent applications and future approaches within this field. Several case studies present real examples of vehicles designed to navigate in off-road environments typically encountered by agriculture, forestry, and construction machines. The examples analyzed describe and illustrate key features for agricultural robotics, such as automatic steering, safeguarding, mapping, and precision agriculture applications. The eight chapters include numerous figures, each designed to improve the reader’s comprehension of subjects such as: • automatic steering systems; • navigation systems; • vehicle architecture; • image processing and vision; and • three-dimensional perception and localization. Mechatronics and Intelligent Systems for Off-road Vehicles will be of great interest to professional engineers and researchers in vehicle automation, robotics, and the application of artificial intelligence to mobile equipment; as well as to graduate students of mechanical, electrical, and agricultural engineering.


Intelligent Equipment and Special Robots

Intelligent Equipment and Special Robots

Author: Q. Zhang

Publisher: IOS Press

Published: 2024-05-15

Total Pages: 632

ISBN-13: 1643685155

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Developments in AI are occurring rapidly, with new applications constantly on the increase, and one of the areas in which interesting developments are always taking place is that of intelligent equipment and special robots. This book presents papers from ICIESR 2023, the 2nd International Conference on Intelligent Equipment and Special Robots, held from 20 to 22 October 2023 in Qingdao, China. The conference series has established a platform for experts, researchers, and students working in related fields to present, exchange, and discuss the latest advances and developments, linking various branches of science and technology. It promotes innovation in, and the application of, intelligent equipment and special robots, and fosters the development of related industries, and this year’s conference brought together 180 participants. A total of 206 submissions was received for the conference, of which 185 were selected for peer review, in the course of which they were evaluated for theme, structure, method, content, language, and format. Of these, 80 papers were accepted for presentation and publication, resulting in an acceptance rate of 39%. Topics covered include intelligent detection technology, smart manufacturing, artificial intelligence, mechatronics technology, and creative and entertaining robots, among others. Providing a current overview of recent developments in the field, the book will be of interest to all those whose work relates to intelligent equipment and special robots.


Artificial Intelligence for Future Generation Robotics

Artificial Intelligence for Future Generation Robotics

Author: Rabindra Nath Shaw

Publisher: Elsevier

Published: 2021-06-19

Total Pages: 180

ISBN-13: 032385799X

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Artificial Intelligence for Future Generation Robotics offers a vision for potential future robotics applications for AI technologies. Each chapter includes theory and mathematics to stimulate novel research directions based on the state-of-the-art in AI and smart robotics. Organized by application into ten chapters, this book offers a practical tool for researchers and engineers looking for new avenues and use-cases that combine AI with smart robotics. As we witness exponential growth in automation and the rapid advancement of underpinning technologies, such as ubiquitous computing, sensing, intelligent data processing, mobile computing and context aware applications, this book is an ideal resource for future innovation. - Brings AI and smart robotics into imaginative, technically-informed dialogue - Integrates fundamentals with real-world applications - Presents potential applications for AI in smart robotics by use-case - Gives detailed theory and mathematical calculations for each application - Stimulates new thinking and research in applying AI to robotics


Intelligent Machines

Intelligent Machines

Author: Clarence W. de Silva

Publisher: CRC Press

Published: 2000-06-22

Total Pages: 348

ISBN-13: 9780849303302

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What is intelligence? Are truly intelligent machines a practical reality? If so, can they work in harmony with human beings and improve the quality of our lives? How are they designed, built, and controlled? The fact is that machines with brains are no longer the stuff of science fiction. Research focused on developing smarter, more flexible machines and new applications continues at a remarkable pace, yet for many people-even engineers-these and other questions linger. Intelligent Machines: Myths and Realities explores the technological, industrial, economic, social, and research issues related to intelligent machines. Nine chapters-authored by highly distinguished international authorities-take you from the fundamentals and general aspects of intelligent machines through current techniques and research, and finally to their practical aspects and applications. Written for both technical and nontechnical readers, Intelligent Machines presents complex issues in simple, qualitative terms, yet discusses important theoretical aspects, industrial applications, and design issues where they are appropriate. The result is an intriguing exploration of this revolutionary technology, its design, uses, limitations, and future prospects. Features


Driverless

Driverless

Author: Hod Lipson

Publisher: MIT Press

Published: 2016-09-23

Total Pages: 324

ISBN-13: 0262035227

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When human drivers let intelligent software take the wheel: the beginning of a new era in personal mobility.


Advanced Guided Vehicles: Aspects Of The Oxford Agv Project

Advanced Guided Vehicles: Aspects Of The Oxford Agv Project

Author: Stephen Cameron

Publisher: World Scientific

Published: 1994-10-10

Total Pages: 280

ISBN-13: 9814504203

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The Oxford University Robotics Research Group has been working for several years to improve the ability of automated guided vehicles. This book brings together much of the key research work on sensors and planning that was inspired by an industrial vehicle donated by a factory automation division in GEC, GEC-FAST, together with background material to provide a basic but up-to-date reference guide to autonomous vehicle research. The book includes work on control, sensing technologies, sensor management and data-fusion, different styles of path planning suited for off-line or online plans and task planning. It is designed to act both as a reference for the robotics professional, and as a text for university-level courses.


Advanced Robotics & Intelligent Machines

Advanced Robotics & Intelligent Machines

Author: J. O. Gray

Publisher: IET

Published: 1996

Total Pages: 408

ISBN-13: 9780852968536

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Advanced robotics describes the use of sensor-based robotic devices which exploit powerful computers to achieve the high levels of functionality that begin to mimic intelligent human behaviour. The object of this book is to summarise developments in the base technologies, survey recent applications and highlight new advanced concepts which will influence future progress.


Autonomous Robots

Autonomous Robots

Author: George A. Bekey

Publisher: MIT Press

Published: 2005-05-20

Total Pages: 595

ISBN-13: 0262292475

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An introduction to the science and practice of autonomous robots that reviews over 300 current systems and examines the underlying technology. Autonomous robots are intelligent machines capable of performing tasks in the world by themselves, without explicit human control. Examples range from autonomous helicopters to Roomba, the robot vacuum cleaner. In this book, George Bekey offers an introduction to the science and practice of autonomous robots that can be used both in the classroom and as a reference for industry professionals. He surveys the hardware implementations of more than 300 current systems, reviews some of their application areas, and examines the underlying technology, including control, architectures, learning, manipulation, grasping, navigation, and mapping. Living systems can be considered the prototypes of autonomous systems, and Bekey explores the biological inspiration that forms the basis of many recent developments in robotics. He also discusses robot control issues and the design of control architectures. After an overview of the field that introduces some of its fundamental concepts, the book presents background material on hardware, control (from both biological and engineering perspectives), software architecture, and robot intelligence. It then examines a broad range of implementations and applications, including locomotion (wheeled, legged, flying, swimming, and crawling robots), manipulation (both arms and hands), localization, navigation, and mapping. The many case studies and specific applications include robots built for research, industry, and the military, among them underwater robotic vehicles, walking machines with four, six, and eight legs, and the famous humanoid robots Cog, Kismet, ASIMO, and QRIO. The book concludes with reflections on the future of robotics—the potential benefits as well as the possible dangers that may arise from large numbers of increasingly intelligent and autonomous robots.


Modelling and Control for Intelligent Industrial Systems

Modelling and Control for Intelligent Industrial Systems

Author: Gerasimos Rigatos

Publisher: Springer Science & Business Media

Published: 2011-02-02

Total Pages: 396

ISBN-13: 3642178758

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Incorporating intelligence in industrial systems can help to increase productivity, cut-off production costs, and to improve working conditions and safety in industrial environments. This need has resulted in the rapid development of modeling and control methods for industrial systems and robots, of fault detection and isolation methods for the prevention of critical situations in industrial work-cells and production plants, of optimization methods aiming at a more profitable functioning of industrial installations and robotic devices and of machine intelligence methods aiming at reducing human intervention in industrial systems operation. To this end, the book analyzes and extends some main directions of research in modeling and control for industrial systems. These are: (i) industrial robots, (ii) mobile robots and autonomous vehicles, (iii) adaptive and robust control of electromechanical systems, (iv) filtering and stochastic estimation for multisensor fusion and sensorless control of industrial systems (iv) fault detection and isolation in robotic and industrial systems, (v) optimization in industrial automation and robotic systems design, and (vi) machine intelligence for robots autonomy. The book will be a useful companion to engineers and researchers since it covers a wide spectrum of problems in the area of industrial systems. Moreover, the book is addressed to undergraduate and post-graduate students, as an upper-level course supplement of automatic control and robotics courses.