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.

Intelligent Control of Robotic Systems
Intelligent Control of Robotic Systems

Author: D. Katic

Publisher: Springer Science & Business Media

Published: 2013-03-14

Total Pages: 308

ISBN-13: 9401703175

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As robotic systems make their way into standard practice, they have opened the door to a wide spectrum of complex applications. Such applications usually demand that the robots be highly intelligent. Future robots are likely to have greater sensory capabilities, more intelligence, higher levels of manual dexter ity, and adequate mobility, compared to humans. In order to ensure high-quality control and performance in robotics, new intelligent control techniques must be developed, which are capable of coping with task complexity, multi-objective decision making, large volumes of perception data and substantial amounts of heuristic information. Hence, the pursuit of intelligent autonomous robotic systems has been a topic of much fascinating research in recent years. On the other hand, as emerging technologies, Soft Computing paradigms consisting of complementary elements of Fuzzy Logic, Neural Computing and Evolutionary Computation are viewed as the most promising methods towards intelligent robotic systems. Due to their strong learning and cognitive ability and good tolerance of uncertainty and imprecision, Soft Computing techniques have found wide application in the area of intelligent control of robotic systems.

Intelligent Control, Robotics, and Industrial Automation
Intelligent Control, Robotics, and Industrial Automation

Author: Sanjay Sharma

Publisher: Springer Nature

Published: 2023-12-19

Total Pages: 1039

ISBN-13: 9819946344

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This volume comprises peer-reviewed proceedings of the International Conference on Robotics, Control, Automation, and Artificial Intelligence (RCAAI 2022). It aims to provide a broad spectrum picture of the state of art research and development in the areas of intelligent control, the Internet of Things, machine vision, cybersecurity, robotics, circuits, and sensors, among others. This volume will provide a valuable resource for those in academia and industry.

Informatics in Control, Automation and Robotics
Informatics in Control, Automation and Robotics

Author: Oleg Gusikhin

Publisher: Springer Nature

Published: 2019-10-25

Total Pages: 587

ISBN-13: 3030319938

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The goal of this book is to familiarize readers with the latest research on, and recent advances in, the field of Informatics in Control, Automation and Robotics. It gathers a selection of papers highlighting the state-of-the-art in Intelligent Control Systems, Optimization, Robotics and Automation, Signal Processing, Sensors, Systems Modelling and Control. Combining theoretical aspects with practical applications, the book offers a well-balanced overview of the latest achievements, and will provide researchers, engineers and PhD students with both a vital update and new inspirations for their own research.

Computational Intelligence, Control and Computer Vision in Robotics and Automation
Computational Intelligence, Control and Computer Vision in Robotics and Automation

Author: Bidyadhar Subudhi

Publisher:

Published: 2009

Total Pages: 0

ISBN-13: 9788173199530

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Describes the significance towards developing intelligent robots and industrial automation with applications. The book presents state-of-the-art technologies on robotics research; and includes an array of recent investigations on navigation, motion planning of mobile robots, control of underactuated systems such as flexible robots.

Advances in Intelligent Robotics and Collaborative Automation
Advances in Intelligent Robotics and Collaborative Automation

Author: Yuriy P. Kondratenko

Publisher: River Publishers

Published: 2015-03-31

Total Pages: 363

ISBN-13: 8793237030

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This book provides an overview of a series of advanced research lines in robotics as well as of design and development methodologies for intelligent robots and their intelligent components. It represents a selection of extended versions of the best papers presented at the Seventh IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications IDAACS 2013 that were related to these topics. Its contents integrate state of the art computational intelligence based techniques for automatic robot control to novel distributed sensing and data integration methodologies that can be applied to intelligent robotics and automation systems. The objective of the text was to provide an overview of some of the problems in the field of robotic systems and intelligent automation and the approaches and techniques that relevant research groups within this area are employing to try to solve them. The contributions of the different authors have been grouped into four main sections: RobotsControl and IntelligenceSensingCollaborative automation The chapters have been structured to provide an easy to follow introduction to the topics that are addressed, including the most relevant references, so that anyone interested in this field can get started in the area.

Robotics
Robotics

Author: Matjaž Mihelj

Publisher: Springer

Published: 2018-07-25

Total Pages: 249

ISBN-13: 331972911X

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This book introduces readers to robotics, industrial robot mechanisms, and types of robots, e.g. parallel robots, mobile robots and humanoid robots. The book is based on over 20 years of teaching robotics and has been extensively class tested and praised for its simplicity. It addresses the following subjects: a general introduction to robotics; basic characteristics of industrial robot mechanisms; position and movement of an object, which are described by homogenous transformation matrices; a geometric model of robot mechanisms expanded with robot wrist orientation description in this new edition; a brief introduction to the kinematics and dynamics of robots; robot sensors and planning of robot trajectories; fundamentals of robot vision; basic control schemes resulting in either desired end-effector trajectory or force; robot workcells with feeding devices and robot grippers. This second edition has been expanded to include the following new topics: parallel robots; collaborative robots; teaching of robots; mobile robots; and humanoid robots. The book is optimally suited for courses in robotics or industrial robotics and requires a minimal grasp of physics and mathematics. The 1st edition of this book won the Outstanding Academic Title distinction from the library magazine CHOICE in 2011.

Recent Advances in Intelligent Control Systems
Recent Advances in Intelligent Control Systems

Author: Wen Yu

Publisher: Springer Science & Business Media

Published: 2009-05-27

Total Pages: 381

ISBN-13: 184882548X

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"Recent Advances in Intelligent Control Systems" gathers contributions from workers around the world and presents them in four categories according to the style of control employed: fuzzy control; neural control; fuzzy neural control; and intelligent control. The contributions illustrate the interdisciplinary antecedents of intelligent control and contrast its results with those of more traditional control methods. A variety of design examples, drawn primarily from robotics and mechatronics but also representing process and production engineering, large civil structures, network flows, and others, provide instances of the application of computational intelligence for control. Presenting state-of-the-art research, this collection will be of benefit to researchers in automatic control, automation, computer science (especially artificial intelligence) and mechatronics while graduate students and practicing control engineers working with intelligent systems will find it a good source of study material.

11th World Conference “Intelligent System for Industrial Automation” (WCIS-2020)
11th World Conference “Intelligent System for Industrial Automation” (WCIS-2020)

Author: Rafik Aziz Aliev

Publisher: Springer Nature

Published: 2021-03-16

Total Pages: 615

ISBN-13: 3030680045

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This book presents the proceedings of the 11th Scientific Conference “Intelligent systems for industrial automation,” WCIS-2020, held in Tashkent, Uzbekistan, on November 26–28, 2020. It includes contributions from diverse areas of intelligent industrial systems design as hybrid control systems, intelligent information systems, decision making under imperfect information and others. The topics of the papers include intelligent control systems, pattern recognition, Industry 4.0, information security, neural computing, fuzzy and evolutionary computation, decision making and support systems, modeling of chemical technological processes and others.