Applications of neural networks in robotics and automation for manufacturing

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Publisher :
ISBN 13 :
Total Pages : 38 pages
Book Rating : 4.:/5 (115 download)

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Book Synopsis Applications of neural networks in robotics and automation for manufacturing by : Arthur C. Sanderson

Download or read book Applications of neural networks in robotics and automation for manufacturing written by Arthur C. Sanderson and published by . This book was released on 1988 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning for Robotics Applications

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Publisher : Springer Nature
ISBN 13 : 981160598X
Total Pages : 175 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Machine Learning for Robotics Applications by : Monica Bianchini

Download or read book Machine Learning for Robotics Applications written by Monica Bianchini and published by Springer Nature. This book was released on 2021-04-23 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning has become one of the most prevalent topics in recent years. The application of machine learning we see today is a tip of the iceberg. The machine learning revolution has just started to roll out. It is becoming an integral part of all modern electronic devices. Applications in automation areas like automotive, security and surveillance, augmented reality, smart home, retail automation and healthcare are few of them. Robotics is also rising to dominate the automated world. The future applications of machine learning in the robotics area are still undiscovered to the common readers. We are, therefore, putting an effort to write this edited book on the future applications of machine learning on robotics where several applications have been included in separate chapters. The content of the book is technical. It has been tried to cover all possible application areas of Robotics using machine learning. This book will provide the future vision on the unexplored areas of applications of Robotics using machine learning. The ideas to be presented in this book are backed up by original research results. The chapter provided here in-depth look with all necessary theory and mathematical calculations. It will be perfect for laymen and developers as it will combine both advanced and introductory material to form an argument for what machine learning could achieve in the future. It will provide a vision on future areas of application and their approach in detail. Therefore, this book will be immensely beneficial for the academicians, researchers and industry project managers to develop their new project and thereby beneficial for mankind. Original research and review works with model and build Robotics applications using Machine learning are included as chapters in this book.

Neural Networks in Robotics

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Publisher : Springer Science & Business Media
ISBN 13 : 1461531802
Total Pages : 560 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Neural Networks in Robotics by : George A. Bekey

Download or read book Neural Networks in Robotics written by George A. Bekey and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Networks in Robotics is the first book to present an integrated view of both the application of artificial neural networks to robot control and the neuromuscular models from which robots were created. The behavior of biological systems provides both the inspiration and the challenge for robotics. The goal is to build robots which can emulate the ability of living organisms to integrate perceptual inputs smoothly with motor responses, even in the presence of novel stimuli and changes in the environment. The ability of living systems to learn and to adapt provides the standard against which robotic systems are judged. In order to emulate these abilities, a number of investigators have attempted to create robot controllers which are modelled on known processes in the brain and musculo-skeletal system. Several of these models are described in this book. On the other hand, connectionist (artificial neural network) formulations are attractive for the computation of inverse kinematics and dynamics of robots, because they can be trained for this purpose without explicit programming. Some of the computational advantages and problems of this approach are also presented. For any serious student of robotics, Neural Networks in Robotics provides an indispensable reference to the work of major researchers in the field. Similarly, since robotics is an outstanding application area for artificial neural networks, Neural Networks in Robotics is equally important to workers in connectionism and to students for sensormonitor control in living systems.

Artificial Intelligence in Industrial Decision Making, Control and Automation

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Publisher : Springer Science & Business Media
ISBN 13 : 9401103054
Total Pages : 778 pages
Book Rating : 4.4/5 (11 download)

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Book Synopsis Artificial Intelligence in Industrial Decision Making, Control and Automation by : S.G. Tzafestas

Download or read book Artificial Intelligence in Industrial Decision Making, Control and Automation written by S.G. Tzafestas and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 778 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with Artificial Intelligence (AI) concepts and techniques as applied to industrial decision making, control and automation problems. The field of AI has been expanded enormously during the last years due to that solid theoretical and application results have accumulated. During the first stage of AI development most workers in the field were content with illustrations showing ideas at work on simple problems. Later, as the field matured, emphasis was turned to demonstrations that showed the capability of AI techniques to handle problems of practical value. Now, we arrived at the stage where researchers and practitioners are actually building AI systems that face real-world and industrial problems. This volume provides a set of twenty four well-selected contributions that deal with the application of AI to such real-life and industrial problems. These contributions are grouped and presented in five parts as follows: Part 1: General Issues Part 2: Intelligent Systems Part 3: Neural Networks in Modelling, Control and Scheduling Part 4: System Diagnostics Part 5: Industrial Robotic, Manufacturing and Organizational Systems Part 1 involves four chapters providing background material and dealing with general issues such as the conceptual integration of qualitative and quantitative models, the treatment of timing problems at system integration, and the investigation of correct reasoning in interactive man-robot systems.

Advanced Robotics & Intelligent Machines

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Publisher : IET
ISBN 13 : 9780852968536
Total Pages : 408 pages
Book Rating : 4.9/5 (685 download)

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Book Synopsis Advanced Robotics & Intelligent Machines by : J. O. Gray

Download or read book Advanced Robotics & Intelligent Machines written by J. O. Gray and published by IET. This book was released on 1996 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Neural Networks for Control

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Publisher : MIT Press
ISBN 13 : 9780262631617
Total Pages : 548 pages
Book Rating : 4.6/5 (316 download)

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Book Synopsis Neural Networks for Control by : W. Thomas Miller

Download or read book Neural Networks for Control written by W. Thomas Miller and published by MIT Press. This book was released on 1995 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Networks for Control brings together examples of all the most important paradigms for the application of neural networks to robotics and control. Primarily concerned with engineering problems and approaches to their solution through neurocomputing systems, the book is divided into three sections: general principles, motion control, and applications domains (with evaluations of the possible applications by experts in the applications areas.) Special emphasis is placed on designs based on optimization or reinforcement, which will become increasingly important as researchers address more complex engineering challenges or real biological-control problems.A Bradford Book. Neural Network Modeling and Connectionism series

Robotics and Automation in Industry 4.0

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Publisher : CRC Press
ISBN 13 : 1003837352
Total Pages : 453 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Robotics and Automation in Industry 4.0 by : Nidhi Sindhwani

Download or read book Robotics and Automation in Industry 4.0 written by Nidhi Sindhwani and published by CRC Press. This book was released on 2024-02-09 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the innovative aspects of smart industries and intelligent technologies involving Robotics and Automation. It discusses the challenges in the design of autonomous robots and provides an understanding of how different systems ommunicate with each other, allowing cooperation with other human systems and operators in real time. Robotics and Automation in Industry 4.0: Smart Industries and Intelligent Technologies offers research articles, flow charts, algorithms, and examples based on daily life in automation and robotics related to the building of Industry 4.0. It presents disruptive technology applications related to Smart Industries and talks about how robotics is an important Industry 4.0 technology that offers a wide range of capabilities and has improved automation systems by doing repetitive tasks with more accuracy and at a lower cost. The book discusses how frontline healthcare staff can evaluate, monitor, and treat patients from a safe distance by using robotic and telerobotic systems to minimize the risk of infectious disease transmission. Artificial intelligence (AI) and machine learning (ML) are looked at and the book offers a comprehensive overview of the key challenges surrounding the Internet of Things (IoT) and AI synergy, including current and future applications with significant societal value. An ideal read for scientists, research scholars, entrepreneurs, industrialists, academicians, and various other professionals who are interested in exploring innovations in the applicational areas of AI, IoT, and ML related to Robotics and Automation.

AI based Robot Safe Learning and Control

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Publisher : Springer Nature
ISBN 13 : 9811555036
Total Pages : 138 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis AI based Robot Safe Learning and Control by : Xuefeng Zhou

Download or read book AI based Robot Safe Learning and Control written by Xuefeng Zhou and published by Springer Nature. This book was released on 2020-06-02 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the safety performance of robot systems, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments, obstacle avoidance in dynamic workspace. The idea for this book on solving safe control of robot arms was conceived during the industrial applications and the research discussion in the laboratory. Most of the materials in this book are derived from the authors’ papers published in journals, such as IEEE Transactions on Industrial Electronics, neurocomputing, etc. This book can be used as a reference book for researcher and designer of the robotic systems and AI based controllers, and can also be used as a reference book for senior undergraduate and graduate students in colleges and universities.

Computer-Aided Design, Engineering, and Manufacturing

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Publisher : CRC Press
ISBN 13 : 9781420050097
Total Pages : 296 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Computer-Aided Design, Engineering, and Manufacturing by : Cornelius T. Leondes

Download or read book Computer-Aided Design, Engineering, and Manufacturing written by Cornelius T. Leondes and published by CRC Press. This book was released on 2000-12-12 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the competitive business arena companies must continually strive to create new and better products faster, more efficiently, and more cost effectively than their competitors to gain and keep the competitive advantage. Computer-aided design (CAD), computer-aided engineering (CAE), and computer-aided manufacturing (CAM) are now the industry standard. These seven volumes give the reader a comprehensive treatment of the techniques and applications of CAD, CAE, and CAM.

Robotics and Manufacturing

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Publisher : American Society of Mechanical Engineers
ISBN 13 :
Total Pages : 1056 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Robotics and Manufacturing by : Mohammad Jamshidi

Download or read book Robotics and Manufacturing written by Mohammad Jamshidi and published by American Society of Mechanical Engineers. This book was released on 1990 with total page 1056 pages. Available in PDF, EPUB and Kindle. Book excerpt: The presentations of the technical papers in this volume have been grouped in accordance to specialized areas of robotics and manufacturing for easy access to the reader. The 145 technical papers cover topics in these important areas: Kinematics and Dynamics, Path and Task Planning, Sensors, Magnetic Levitation and Control Architectures, Robotic Control, Robots in Unstructured Environments, Redundant and Flexible Robots, Automated and Flexible Manufacturing, AI and Simulation, Dual and Mobile Robots, Education and Research, and Neural Networks and Learning.

Artificial Intelligence for Future Generation Robotics

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Publisher : Elsevier
ISBN 13 : 032385799X
Total Pages : 180 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Artificial Intelligence for Future Generation Robotics by : Rabindra Nath Shaw

Download or read book Artificial Intelligence for Future Generation Robotics written by Rabindra Nath Shaw and published by Elsevier. This book was released on 2021-06-19 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

A Perspective on Artificial Intelligence in Manufacturing

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Publisher : Springer Nature
ISBN 13 : 3031218280
Total Pages : 142 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis A Perspective on Artificial Intelligence in Manufacturing by : George Chryssolouris

Download or read book A Perspective on Artificial Intelligence in Manufacturing written by George Chryssolouris and published by Springer Nature. This book was released on 2023-01-01 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates the rapid developments of Artificial intelligence (AI) as well as their capability to address efficiently and in a cost-effective manner issues of the manufacturing field. A number of manufacturing applications of AI related to manufacturing processes, robots, automation and manufacturing systems design and control, are presented and discussed. The book includes an outlook on a way forward to intelligent manufacturing, through AI. The real benefit from AI in manufacturing will not only derive through the automation of tasks but also through the provision of new levels of autonomy that will make entirely new applications possible and introduce new business processes in manufacturing.

Advanced Robotics and Intelligent Automation in Manufacturing

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Publisher : IGI Global
ISBN 13 : 1799813835
Total Pages : 357 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Advanced Robotics and Intelligent Automation in Manufacturing by : Habib, Maki K.

Download or read book Advanced Robotics and Intelligent Automation in Manufacturing written by Habib, Maki K. and published by IGI Global. This book was released on 2019-11-15 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: While human capabilities can withstand broad levels of strain, they cannot hope to compete with the advanced abilities of automated technologies. Developing advanced robotic systems will provide a better, faster means to produce goods and deliver a level of seamless communication and synchronization that exceeds human skill. Advanced Robotics and Intelligent Automation in Manufacturing is a pivotal reference source that provides vital research on the application of advanced manufacturing technologies in regards to production speed, quality, and innovation. While highlighting topics such as human-machine interaction, quality management, and sensor integration, this publication explores state-of-the-art technologies in the field of robotics engineering as well as human-robot interaction. This book is ideally designed for researchers, students, engineers, manufacturers, managers, industry professionals, and academicians seeking to enhance their innovative design capabilities.

Advances in Intelligent Manufacturing and Robotics

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Publisher : Springer Nature
ISBN 13 : 981998498X
Total Pages : 566 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Advances in Intelligent Manufacturing and Robotics by : Andrew Tan

Download or read book Advances in Intelligent Manufacturing and Robotics written by Andrew Tan and published by Springer Nature. This book was released on with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Intelligent Autonomous Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 9401147906
Total Pages : 544 pages
Book Rating : 4.4/5 (11 download)

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Book Synopsis Advances in Intelligent Autonomous Systems by : S.G. Tzafestas

Download or read book Advances in Intelligent Autonomous Systems written by S.G. Tzafestas and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of twenty-three timely contributions covers a well-selected repertory of topics within the autonomous systems field. The book discusses a range of design, construction, control, and operation problems along with a multiplicity of well-established and novel solutions.

Applications of Computer Vision in Automation and Robotics

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Publisher : MDPI
ISBN 13 : 3039435817
Total Pages : 186 pages
Book Rating : 4.0/5 (394 download)

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Book Synopsis Applications of Computer Vision in Automation and Robotics by : Krzysztof Okarma

Download or read book Applications of Computer Vision in Automation and Robotics written by Krzysztof Okarma and published by MDPI. This book was released on 2021-01-28 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent research results related to various applications of computer vision methods in the widely understood contexts of automation and robotics. As the current progress of image analysis applications may be easily observed in various areas of everyday life, it becomes one of the most essential elements of development of Industry 4.0 solutions. Some of the examples, partially discussed in individual chapters, may be related to the visual navigation of mobile robots and drones, monitoring of industrial production lines, non-destructive evaluation and testing, monitoring of the IoT devices or the 3D printing process and the quality assessment of manufactured objects, video surveillance systems, and decision support in autonomous vehicles.

Intelligent Control of Robotic Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 9401703175
Total Pages : 308 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis Intelligent Control of Robotic Systems by : D. Katic

Download or read book Intelligent Control of Robotic Systems written by D. Katic and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.