Applications Of Ai Machine Vision And Robotics

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Applications of AI, Machine Vision and Robotics

Author : K L Boyer,L Stark,H Bunke
Publisher : World Scientific
Page : 268 pages
File Size : 41,6 Mb
Release : 1995-02-28
Category : Technology & Engineering
ISBN : 9789814500883

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Applications of AI, Machine Vision and Robotics by K L Boyer,L Stark,H Bunke Pdf

This text features a broad array of research efforts in computer vision including low level processing, perceptual organization, object recognition and active vision. The volume's nine papers specifically report on topics such as sensor confidence, low level feature extraction schemes, non-parametric multi-scale curve smoothing, integration of geometric and non-geometric attributes for object recognition, design criteria for a four degree-of-freedom robot head, a real-time vision system based on control of visual attention and a behavior-based active eye vision system. The scope of the book provides an excellent sample of current concepts, examples and applications from multiple areas of computer vision. Contents:Range Estimation from Camera Blur by Regularized Adaptive Identification (L F Holeva)Modeling Sensor Confidence for Sensor Integration Tasks (K Hughes & N Ranganathan)From 3-D Scattered Data to Geometric Signal Description: Invariant Stable Recovery of Straight Line Segments (P Hébert et al.)Feature Extraction and Matching as Signal Detection (X-P Hu & N Ahuja)Non-Parametric Multiscale Curve Smoothing (P L Rosin)Integration of Geometric and Non-Geometric Attributes for Fast Object Recognition (L Grewe & A Kak)A Four Degree-of-Freedom Robot Head for Active Vision (F-L Du & M Brady)Control of Eye and Arm Movements Using Active, Attentional Vision (P A Sandon)Behavior-Based Active Vision (C S Pinhanez) Readership: Computer scientists and engineers. keywords:

Applications of Artificial Intelligence

Author : Anonim
Publisher : Unknown
Page : 862 pages
File Size : 42,8 Mb
Release : 1992
Category : Artificial intelligence
ISBN : UOM:39015023885786

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Applications of Artificial Intelligence by Anonim Pdf

Robotic Vision: Technologies for Machine Learning and Vision Applications

Author : Garcia-Rodriguez, Jose
Publisher : IGI Global
Page : 535 pages
File Size : 49,5 Mb
Release : 2012-12-31
Category : Technology & Engineering
ISBN : 9781466627031

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Robotic Vision: Technologies for Machine Learning and Vision Applications by Garcia-Rodriguez, Jose Pdf

Robotic systems consist of object or scene recognition, vision-based motion control, vision-based mapping, and dense range sensing, and are used for identification and navigation. As these computer vision and robotic connections continue to develop, the benefits of vision technology including savings, improved quality, reliability, safety, and productivity are revealed. Robotic Vision: Technologies for Machine Learning and Vision Applications is a comprehensive collection which highlights a solid framework for understanding existing work and planning future research. This book includes current research on the fields of robotics, machine vision, image processing and pattern recognition that is important to applying machine vision methods in the real world.

Machine Learning Applications

Author : Indranath Chatterjee,Sheetal Zalte
Publisher : John Wiley & Sons
Page : 244 pages
File Size : 43,8 Mb
Release : 2023-12-19
Category : Computers
ISBN : 9781394173327

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Machine Learning Applications by Indranath Chatterjee,Sheetal Zalte Pdf

Machine Learning Applications Practical resource on the importance of Machine Learning and Deep Learning applications in various technologies and real-world situations Machine Learning Applications discusses methodological advancements of machine learning and deep learning, presents applications in image processing, including face and vehicle detection, image classification, object detection, image segmentation, and delivers real-world applications in healthcare to identify diseases and diagnosis, such as creating smart health records and medical imaging diagnosis, and provides real-world examples, case studies, use cases, and techniques to enable the reader’s active learning. Composed of 13 chapters, this book also introduces real-world applications of machine and deep learning in blockchain technology, cyber security, and climate change. An explanation of AI and robotic applications in mechanical design is also discussed, including robot-assisted surgeries, security, and space exploration. The book describes the importance of each subject area and detail why they are so important to us from a societal and human perspective. Edited by two highly qualified academics and contributed to by established thought leaders in their respective fields, Machine Learning Applications includes information on: Content based medical image retrieval (CBMIR), covering face and vehicle detection, multi-resolution and multisource analysis, manifold and image processing, and morphological processing Smart medicine, including machine learning and artificial intelligence in medicine, risk identification, tailored interventions, and association rules AI and robotics application for transportation and infrastructure (e.g., autonomous cars and smart cities), along with global warming and climate change Identifying diseases and diagnosis, drug discovery and manufacturing, medical imaging diagnosis, personalized medicine, and smart health records With its practical approach to the subject, Machine Learning Applications is an ideal resource for professionals working with smart technologies such as machine and deep learning, AI, IoT, and other wireless communications; it is also highly suitable for professionals working in robotics, computer vision, cyber security and more.

Artificial Intelligence for Robotics and Autonomous Systems Applications

Author : Ahmad Taher Azar,Anis Koubaa
Publisher : Springer Nature
Page : 488 pages
File Size : 41,9 Mb
Release : 2023-05-15
Category : Technology & Engineering
ISBN : 9783031287152

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Artificial Intelligence for Robotics and Autonomous Systems Applications by Ahmad Taher Azar,Anis Koubaa Pdf

This book addresses many applications of artificial intelligence in robotics, namely AI using visual and motional input. Robotic technology has made significant contributions to daily living, industrial uses, and medicinal applications. Machine learning, in particular, is critical for intelligent robots or unmanned/autonomous systems such as UAVs, UGVs, UUVs, cooperative robots, and so on. Humans are distinguished from animals by capacities such as receiving visual information, adjusting to uncertain circumstances, and making decisions to take action in a complex system. Significant progress has been made in robotics toward human-like intelligence; yet, there are still numerous unresolved issues. Deep learning, reinforcement learning, real-time learning, swarm intelligence, and other developing approaches such as tiny-ML have been developed in recent decades and used in robotics. Artificial intelligence is being integrated into robots in order to develop advanced robotics capable of performing multiple tasks and learning new things with a better perception of the environment, allowing robots to perform critical tasks with human-like vision to detect or recognize various objects. Intelligent robots have been successfully constructed using machine learning and deep learning AI technology. Robotics performance is improving as higher quality, and more precise machine learning processes are used to train computer vision models to recognize different things and carry out operations correctly with the desired outcome. We believe that the increasing demands and challenges offered by real-world robotic applications encourage academic research in both artificial intelligence and robotics. The goal of this book is to bring together scientists, specialists, and engineers from around the world to present and share their most recent research findings and new ideas on artificial intelligence in robotics.

Machine Vision and Industrial Robotics in Manufacturing

Author : Alex Khang,Vugar Abdullayev Hajimahmud,Anuradha Misra,Eugenia Litvinova
Publisher : CRC Press
Page : 513 pages
File Size : 55,7 Mb
Release : 2024-07-29
Category : Computers
ISBN : 9781040086360

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Machine Vision and Industrial Robotics in Manufacturing by Alex Khang,Vugar Abdullayev Hajimahmud,Anuradha Misra,Eugenia Litvinova Pdf

This book covers the basics of machine vision and robotics in the manufacturing industry. Major applicability of intelligent machines and robotics in the manufacturing sector are explored in three major areas of product traceability, remote product-monitoring, supply chain, logistics, and product record management. Machine Vision and Industrial Robotics in Manufacturing: Approaches, Technologies, and Applications explains advanced technologies based on Artificial Intelligence and Industrial Internet of Things related to smart manufacturing applications. The book introduces the emerging machines and robotics applications that are enabling smart factories initiatives worldwide. The chapters examine labor productivity, factory device installation, and defective product detection. The authors share modern models, emerging technologies, designs, frameworks, theories, practices, and sustainable approaches to design and implement machine vision with industrial robotics. They also examine the challenging issues associated with the leveraging of technologies related to machine vision, computer vision, robotics, Internet of Things, Industrial Internet of Things technologies, Artificial Intelligence-equipped machines, applications, and automatic techniques for intelligent manufacturing systems and smart factory infrastructure in the era of Industry 4.0 manufacturing. The authors also examine topics such as the role of existing management and production solutions, their limitations, and future directions in manufacturing industry. This book targets a mixed audience of students, engineers, scholars, researchers, academics, and professionals who are learning, researching, and working in the field of machine vision, Artificial Intelligence, Industrial Internet of Things, computer vision, and robotic technologies from different industries and economics.

Machine Learning for Robotics Applications

Author : Monica Bianchini,Milan Simic,Ankush Ghosh,Rabindra Nath Shaw
Publisher : Springer Nature
Page : 175 pages
File Size : 44,6 Mb
Release : 2021-04-23
Category : Technology & Engineering
ISBN : 9789811605987

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Machine Learning for Robotics Applications by Monica Bianchini,Milan Simic,Ankush Ghosh,Rabindra Nath Shaw Pdf

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.

Computer Vision: Theory and Industrial Applications

Author : Carme Torras
Publisher : Springer Science & Business Media
Page : 458 pages
File Size : 43,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642486753

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Computer Vision: Theory and Industrial Applications by Carme Torras Pdf

This book is the fruit of a very long and elaborate process. It was conceived as a comprehensive solution to several deficiencies encountered while trying to teach the essentials of Computer Vision in different contexts: to technicians from industry looking for technological solutions to some of their problems, to students in search of a good subject for a PhD thesis, and to researchers in other fields who believe that Computer Vision techniques may help them to analyse their results. The book was carefully planned with all these people in mind. Thus, it covers the fundamentals of both 2D and 3D Computer Vision and their most widespread industrial applications, such as automated inspection, robot guidance and workpiece acquisition. The level of explanation is that of an expanded introductory text, in the sense that, besides the basic material, some special advanced topics are included in each chapter, together with an extensive bibliography for experts to follow up. Well-known researchers on each of the topics were appointed to write a chapter following several guidelines to ensure a consistent presentation throughout. I would like to thank the authors for their patience, because some of them had to go through several revisions of their chapters in order to avoid repetition and to improve the homogeneity and coherence of the book. I hope they will find that the final result has been worth their efforts.

Robotic Vision

Author : José García-Rodriguez,Miguel A. Cazorla Quevedo,IGI Global
Publisher : Unknown
Page : 511 pages
File Size : 55,8 Mb
Release : 2013
Category : Electronic
ISBN : 1466627344

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Robotic Vision by José García-Rodriguez,Miguel A. Cazorla Quevedo,IGI Global Pdf

Applications of Computer Vision in Automation and Robotics

Author : Krzysztof Okarma
Publisher : MDPI
Page : 186 pages
File Size : 42,6 Mb
Release : 2021-01-28
Category : Technology & Engineering
ISBN : 9783039435814

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Applications of Computer Vision in Automation and Robotics by Krzysztof Okarma Pdf

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.

Living with Robots

Author : Ruth Aylett,Patricia A. Vargas
Publisher : MIT Press
Page : 309 pages
File Size : 51,8 Mb
Release : 2021-09-21
Category : Technology & Engineering
ISBN : 9780262365475

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Living with Robots by Ruth Aylett,Patricia A. Vargas Pdf

The truth about robots: two experts look beyond the hype, offering a lively and accessible guide to what robots can (and can't) do. There’s a lot of hype about robots; some of it is scary and some of it utopian. In this accessible book, two robotics experts reveal the truth about what robots can and can’t do, how they work, and what we can reasonably expect their future capabilities to be. It will not only make you think differently about the capabilities of robots; it will make you think differently about the capabilities of humans. Ruth Aylett and Patricia Vargas discuss the history of our fascination with robots—from chatbots and prosthetics to autonomous cars and robot swarms. They show us the ways in which robots outperform humans and the ways they fall woefully short of our superior talents. They explain how robots see, feel, hear, think, and learn; describe how robots can cooperate; and consider robots as pets, butlers, and companions. Finally, they look at robots that raise ethical and social issues: killer robots, sexbots, and robots that might be gunning for your job. Living with Robots equips readers to look at robots concretely—as human-made artifacts rather than placeholders for our anxieties. Find out: •Why robots can swim and fly but find it difficult to walk •Which robot features are inspired by animals and insects •Why we develop feelings for robots •Which human abilities are hard for robots to emulate

Artificial Intelligence for Future Generation Robotics

Author : Rabindra Nath Shaw,Ankush Ghosh,Valentina Emilia Balas,Monica Bianchini
Publisher : Elsevier
Page : 180 pages
File Size : 53,6 Mb
Release : 2021-06-19
Category : Computers
ISBN : 9780323857994

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Artificial Intelligence for Future Generation Robotics by Rabindra Nath Shaw,Ankush Ghosh,Valentina Emilia Balas,Monica Bianchini Pdf

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

Artificial Vision and Language Processing for Robotics

Author : Álvaro Morena Alberola,Gonzalo Molina Gallego,Unai Garay Maestre
Publisher : Packt Publishing Ltd
Page : 356 pages
File Size : 43,5 Mb
Release : 2019-04-30
Category : Computers
ISBN : 9781838557669

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Artificial Vision and Language Processing for Robotics by Álvaro Morena Alberola,Gonzalo Molina Gallego,Unai Garay Maestre Pdf

Create end-to-end systems that can power robots with artificial vision and deep learning techniques Key FeaturesStudy ROS, the main development framework for robotics, in detailLearn all about convolutional neural networks, recurrent neural networks, and roboticsCreate a chatbot to interact with the robotBook Description Artificial Vision and Language Processing for Robotics begins by discussing the theory behind robots. You'll compare different methods used to work with robots and explore computer vision, its algorithms, and limits. You'll then learn how to control the robot with natural language processing commands. You'll study Word2Vec and GloVe embedding techniques, non-numeric data, recurrent neural network (RNNs), and their advanced models. You'll create a simple Word2Vec model with Keras, as well as build a convolutional neural network (CNN) and improve it with data augmentation and transfer learning. You'll study the ROS and build a conversational agent to manage your robot. You'll also integrate your agent with the ROS and convert an image to text and text to speech. You'll learn to build an object recognition system using a video. By the end of this book, you'll have the skills you need to build a functional application that can integrate with a ROS to extract useful information about your environment. What you will learnExplore the ROS and build a basic robotic systemUnderstand the architecture of neural networksIdentify conversation intents with NLP techniquesLearn and use the embedding with Word2Vec and GloVeBuild a basic CNN and improve it using generative modelsUse deep learning to implement artificial intelligence(AI)and object recognitionDevelop a simple object recognition system using CNNsIntegrate AI with ROS to enable your robot to recognize objectsWho this book is for Artificial Vision and Language Processing for Robotics is for robotics engineers who want to learn how to integrate computer vision and deep learning techniques to create complete robotic systems. It will prove beneficial to you if you have working knowledge of Python and a background in deep learning. Knowledge of the ROS is a plus.

Machine Vision for Industry 4.0

Author : Roshani Raut,Salahddine Krit,Prasenjit Chatterjee
Publisher : CRC Press
Page : 322 pages
File Size : 40,5 Mb
Release : 2022-03-23
Category : Technology & Engineering
ISBN : 9781000518221

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Machine Vision for Industry 4.0 by Roshani Raut,Salahddine Krit,Prasenjit Chatterjee Pdf

This book discusses the use of machine vision and technologies in specific engineering case studies and focuses on how machine vision techniques are impacting every step of industrial processes and how smart sensors and cognitive big data analytics are supporting the automation processes in Industry 4.0 applications. Industry 4.0, the Fourth Industrial Revolution, combines traditional manufacturing with automation and data exchange. Machine vision is used in the industry for reliable product inspections, quality control, and data capture solutions. It combines different technologies to provide important information from the acquisition and analysis of images for robot-based inspection and guidance. Features Presents a comprehensive guide on how to use machine vision for Industry 4.0 applications, such as analysis of images for automated inspections, object detection, object tracking, and more Includes case studies of Robotics Internet of Things with its current and future applications in healthcare, agriculture, and transportation Highlights the inclusion of impaired people in the industry, for example, an intelligent assistant that helps deaf-mute individuals to transmit instructions and warnings in a manufacturing process Examines the significant technological advancements in machine vision for Industrial Internet of Things and explores the commercial benefits using real-world applications from healthcare to transportation Discusses a conceptual framework of machine vision for various industrial applications The book addresses scientific aspects for a wider audience such as senior and junior engineers, undergraduate and postgraduate students, researchers, and anyone interested in the trends, development, and opportunities for machine vision for Industry 4.0 applications.