Robot Vision

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Author: Berthold Horn

Publisher: MIT Press

ISBN: 9780262081597

Category: Computers

Page: 509

View: 8368

"Presents a solid framework for understanding existing work and planning future research."--Cover.

Robot Visions

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Author: Isaac Asimov

Publisher: Gollancz

ISBN: 9781857983364

Category: Robots

Page: 512

View: 2568

"New edition of this classic collection of Asimov's robot tales. From Robbie (hero of the first robot story Asimov wrote at the age of nineteen) to the tales of Susan Calvin, first robot psychologist, and the human and robot detectives Lije Bailey and R. Daneel Olivaw, here are key moments in the fictional history of human-robot relations."

Robot Vision

Video-based Indoor Exploration with Autonomous and Mobile Robots

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Author: Stefan Florczyk

Publisher: John Wiley & Sons

ISBN: 352760491X

Category: Technology & Engineering

Page: 216

View: 1159

The book is intended for advanced students in physics, mathematics, computer science, electrical engineering, robotics, engine engineering and for specialists in computer vision and robotics on the techniques for the development of vision-based robot projects. It focusses on autonomous and mobile service robots for indoor work, and teaches the techniques for the development of vision-based robot projects. A basic knowledge of informatics is assumed, but the basic introduction helps to adjust the knowledge of the reader accordingly. A practical treatment of the material enables a comprehensive understanding of how to handle specific problems, such as inhomogeneous illumination or occlusion. With this book, the reader should be able to develop object-oriented programs and show mathematical basic understanding. Such topics as image processing, navigation, camera types and camera calibration structure the described steps of developing further applications of vision-based robot projects.

Robot Vision

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Author: A. Pugh

Publisher: Springer Science & Business Media

ISBN: 3662097710

Category: Technology & Engineering

Page: 356

View: 7502

Over the past five years robot vision has emerged as a subject area with its own identity. A text based on the proceedings of the Symposium on Computer Vision and Sensor-based Robots held at the General Motors Research Laboratories, Warren, Michigan in 1978, was published by Plenum Press in 1979. This book, edited by George G. Dodd and Lothar Rosso!, probably represented the first identifiable book covering some aspects of robot vision. The subject of robot vision and sensory controls (RoViSeC) occupied an entire international conference held in the Hilton Hotel in Stratford, England in May 1981. This was followed by a second RoViSeC held in Stuttgart, Germany in November 1982. The large attendance at the Stratford conference and the obvious interest in the subject of robot vision at international robot meetings, provides the stimulus for this current collection of papers. Users and researchers entering the field of robot vision for the first time will encounter a bewildering array of publications on all aspects of computer vision of which robot vision forms a part. It is the grey area dividing the different aspects of computer vision which is not easy to identify. Even those involved in research sometimes find difficulty in separating the essential differences between vision for automated inspection and vision for robot applications. Both of these are to some extent applications of pattern recognition with the underlying philosophy of each defining the techniques used.

Robotics, Vision and Control

Fundamental Algorithms In MATLAB® Second, Completely Revised, Extended And Updated Edition

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Author: Peter Corke

Publisher: Springer

ISBN: 3319544136

Category: Technology & Engineering

Page: 693

View: 5341

Robotic vision, the combination of robotics and computer vision, involves the application of computer algorithms to data acquired from sensors. The research community has developed a large body of such algorithms but for a newcomer to the field this can be quite daunting. For over 20 years the author has maintained two open-source MATLAB® Toolboxes, one for robotics and one for vision. They provide implementations of many important algorithms and allow users to work with real problems, not just trivial examples. This book makes the fundamental algorithms of robotics, vision and control accessible to all. It weaves together theory, algorithms and examples in a narrative that covers robotics and computer vision separately and together. Using the latest versions of the Toolboxes the author shows how complex problems can be decomposed and solved using just a few simple lines of code. The topics covered are guided by real problems observed by the author over many years as a practitioner of both robotics and computer vision. It is written in an accessible but informative style, easy to read and absorb, and includes over 1000 MATLAB and Simulink® examples and over 400 figures. The book is a real walk through the fundamentals of mobile robots, arm robots. then camera models, image processing, feature extraction and multi-view geometry and finally bringing it all together with an extensive discussion of visual servo systems. This second edition is completely revised, updated and extended with coverage of Lie groups, matrix exponentials and twists; inertial navigation; differential drive robots; lattice planners; pose-graph SLAM and map making; restructured material on arm-robot kinematics and dynamics; series-elastic actuators and operational-space control; Lab color spaces; light field cameras; structured light, bundle adjustment and visual odometry; and photometric visual servoing. “An authoritative book, reaching across fields, thoughtfully conceived and brilliantly accomplished!” OUSSAMA KHATIB, Stanford

Robot Vision

Strategies, Algorithms and Motion Planning

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Author: Daiki Itô

Publisher: Nova Science Pub Incorporated

ISBN: 9781606920916

Category: Technology & Engineering

Page: 475

View: 7298

The field of robot vision guidance is developing rapidly. The benefits of sophisticated vision technology include savings, improved quality, reliability, safety and productivity. Robot vision is used for part identification and navigation. Vision applications generally deal with finding a part and orienting it for robotic handling or inspection before an application is performed. Sometimes vision guided robots can replace multiple mechanical tools with a single robot station. A combination of vision algorithms, calibration, temperature software, and cameras provide the vision ability. Calibration of robot vision system is very application dependent. They can range from a simple guidance application to a more complex application that uses data from multiple sensors. Algorithms are consistently improving, allowing for sophisticated detection. Many robots are now available with collision detection, allowing them to work alongside other robots without the fear of a major collision. They simply stop moving momentarily if they detect another object in their motion path. This book presents the latest research in the field from around the world.

Robotics, Vision and Control

Fundamental Algorithms in MATLAB

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Author: Peter Corke

Publisher: Springer

ISBN: 9783642201455

Category: Technology & Engineering

Page: 570

View: 4303

The practice of robotics and computer vision both involve the application of computational algorithms to data. Over the fairly recent history of the fields of robotics and computer vision a very large body of algorithms has been developed. However this body of knowledge is something of a barrier for anybody entering the field, or even looking to see if they want to enter the field — What is the right algorithm for a particular problem?, and importantly, How can I try it out without spending days coding and debugging it from the original research papers? The author has maintained two open-source MATLAB Toolboxes for more than 10 years: one for robotics and one for vision. The key strength of the Toolboxes provide a set of tools that allow the user to work with real problems, not trivial examples. For the student the book makes the algorithms accessible, the Toolbox code can be read to gain understanding, and the examples illustrate how it can be used —instant gratification in just a couple of lines of MATLAB code. The code can also be the starting point for new work, for researchers or students, by writing programs based on Toolbox functions, or modifying the Toolbox code itself. The purpose of this book is to expand on the tutorial material provided with the toolboxes, add many more examples, and to weave this into a narrative that covers robotics and computer vision separately and together. The author shows how complex problems can be decomposed and solved using just a few simple lines of code, and hopefully to inspire up and coming researchers. The topics covered are guided by the real problems observed over many years as a practitioner of both robotics and computer vision. It is written in a light but informative style, it is easy to read and absorb, and includes a lot of Matlab examples and figures. The book is a real walk through the fundamentals of robot kinematics, dynamics and joint level control, then camera models, image processing, feature extraction and epipolar geometry, and bring it all together in a visual servo system. Additional material is provided at http://www.petercorke.com/RVC

Learning-Based Robot Vision

Principles and Applications

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Author: Josef Pauli

Publisher: Springer Science & Business Media

ISBN: 3540421084

Category: Computers

Page: 288

View: 600

This book provides the background and introduces a practical methodology for developing autonomous camera-equipped robot systems which solve deliberate tasks in open environments based on their competences acquired from training, interaction, and learning in the real task-relevant world; visual demonstration and neural learning for the backbone for acquiring the situated competences. The author verifies the practicability of the proposed methodology by presenting a structured case study including high-level sub-tasks such as localizing, approaching, grasping, and carrying objects.

Computer and Robot Vision

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Author: Robert M. Haralick,Linda G. Shapiro

Publisher: Prentice Hall

ISBN: N.A

Category: Computer vision

Page: 630

View: 2915

This two-volume set is an authoritative, comprehensive, modern work on computer vision that covers all of the different areas of vision with a balance and unified approach. Volume II covers the higher level techniques of illumination, perspective projection, analytical photogrammetry, motion, image matching, consistent labeling, model matching, and knowledge based vision systems.Both volumes of Computer and Robot Vision address the growing and rapidly evolving area of computer vision with depth and breadth and explore details and specific algorithms not available in most competing texts.

Vision for Robotics

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Author: Danica Kragic,Markus Vincze

Publisher: Now Publishers Inc

ISBN: 1601982607

Category: Computers

Page: 82

View: 8709

Robot vision refers to the capability of a robot to visually perceive the environment and use this information for execution of various tasks. Visual feedback has been used extensively for robot navigation and obstacle avoidance. In the recent years, there are also examples that include interaction with people and manipulation of objects. In this paper, we review some of the work that goes beyond of using artificial landmarks and fiducial markers for the purpose of implementing visionbased control in robots. We discuss different application areas, both from the systems perspective and individual problems such as object tracking and recognition.

Unifying Perspectives in Computational and Robot Vision

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Author: Danica Kragic,Ville Kyrki

Publisher: Springer Science & Business Media

ISBN: 0387755233

Category: Computers

Page: 206

View: 5599

Assembled in this volume is a collection of some of the state-of-the-art methods that are using computer vision and machine learning techniques as applied in robotic applications. Currently there is a gap between research conducted in the computer vision and robotics communities. This volume discusses contrasting viewpoints of computer vision vs. robotics, and provides current and future challenges discussed from a research perspective.

Robotic Vision

Technologies for Machine Learning and Vision Applications

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Author: Jose Garcia-Rodriguez

Publisher: N.A

ISBN: 9781466626720

Category: Computers

Page: 511

View: 2497

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.

Active Robot Vision

Camera Heads, Model Based Navigation and Reactive Control

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Author: H. I. Christensen,Kevin Bowyer,Horst Bunke

Publisher: World Scientific

ISBN: 9789810213213

Category: Technology & Engineering

Page: 192

View: 7614

One of the series in Machine Perception and Artificial Intelligence, this book covers subjects including the Harvard binocular head; heads, eyes, and head-eye systems; a binocular robot head with torsional eye movements; and escape and dodging behaviours for reactive control.

Research in Computer and Robot Vision

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Author: Colin Archibald,Paul Kwok

Publisher: World Scientific

ISBN: 9810221347

Category: Computers

Page: 421

View: 965

Research in Computer and Robot Vision is directed toward researchers and graduate students in the field of computer vision. A broad spectrum of recent research is presented including sensing and navigation for mobile robots, the extraction of lines, curves, surfaces, and skeletons from intensity images and range images, human motion, and feature extraction. Three applied research projects are presented on the topics of handwriting recognition, automatic understanding of technical drawings, and the collection and interpretation of 3-D images for use in dentistry. These papers dramatically illustrate the breadth of implications of the use of computer vision in industrial, social, and even medical arenas.

Robot Vision

Second International Workshop, RobVis 2008, Auckland, New Zealand, February 18-20, 2008, Proceedings

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Author: Gerald Sommer,Reinhard Klette

Publisher: Springer Science & Business Media

ISBN: 3540781560

Category: Computers

Page: 468

View: 2692

This book constitutes the refereed proceedings of the Second International Workshop on Robot Vision, RobVis 2008, held in Auckland, New Zealand, in February 2008. The 21 revised full papers presented together with 15 posters papers were carefully reviewed and selected from 59 submissions. The papers and posters are organized in topical sections on motion analysis, stereo vision, robot vision, computer vision, visual inspection, urban vision, and the poster section.

New Development in Robot Vision

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Author: Yu Sun,Aman Behal,Chi-Kit Ronald Chung

Publisher: Springer

ISBN: 3662438593

Category: Technology & Engineering

Page: 199

View: 9844

The field of robotic vision has advanced dramatically recently with the development of new range sensors. Tremendous progress has been made resulting in significant impact on areas such as robotic navigation, scene/environment understanding, and visual learning. This edited book provides a solid and diversified reference source for some of the most recent important advancements in the field of robotic vision. The book starts with articles that describe new techniques to understand scenes from 2D/3D data such as estimation of planar structures, recognition of multiple objects in the scene using different kinds of features as well as their spatial and semantic relationships, generation of 3D object models, approach to recognize partially occluded objects, etc. Novel techniques are introduced to improve 3D perception accuracy with other sensors such as a gyroscope, positioning accuracy with a visual servoing based alignment strategy for microassembly, and increasing object recognition reliability using related manipulation motion models. For autonomous robot navigation, different vision-based localization and tracking strategies and algorithms are discussed. New approaches using probabilistic analysis for robot navigation, online learning of vision-based robot control, and 3D motion estimation via intensity differences from a monocular camera are described. This collection will be beneficial to graduate students, researchers, and professionals working in the area of robotic vision.

Robot Vision

International Workshop RobVis 2001 Auckland, New Zealand, February 16-18, 2001 Proceedings

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Author: Reinhard Klette,Shmuel Peleg,Gerald Sommer

Publisher: Springer Science & Business Media

ISBN: 3540416943

Category: Computers

Page: 283

View: 9919

This book constitutes the refereed proceedings of the International Workshop on Robot Vision, RobVis 2001, held in Auckland, New Zealand in February 2001. The 17 revised full papers presented together with 17 posters were carefully reviewed and selected from 52 submissions. The papers and posters are organized in topical sections on active perception, computer vision, robotics and video, computational stereo, robotic vision, and image acquisition.

New Development in Robot Vision

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Author: Yu Sun,Aman Behal,Chi-Kit Ronald Chung

Publisher: Springer

ISBN: 3662438593

Category: Technology & Engineering

Page: 199

View: 4053

The field of robotic vision has advanced dramatically recently with the development of new range sensors. Tremendous progress has been made resulting in significant impact on areas such as robotic navigation, scene/environment understanding, and visual learning. This edited book provides a solid and diversified reference source for some of the most recent important advancements in the field of robotic vision. The book starts with articles that describe new techniques to understand scenes from 2D/3D data such as estimation of planar structures, recognition of multiple objects in the scene using different kinds of features as well as their spatial and semantic relationships, generation of 3D object models, approach to recognize partially occluded objects, etc. Novel techniques are introduced to improve 3D perception accuracy with other sensors such as a gyroscope, positioning accuracy with a visual servoing based alignment strategy for microassembly, and increasing object recognition reliability using related manipulation motion models. For autonomous robot navigation, different vision-based localization and tracking strategies and algorithms are discussed. New approaches using probabilistic analysis for robot navigation, online learning of vision-based robot control, and 3D motion estimation via intensity differences from a monocular camera are described. This collection will be beneficial to graduate students, researchers, and professionals working in the area of robotic vision.