Knowledge Based Vision Guided Robots

Author : Nick Barnes
Publisher : Physica
ISBN 13 : 3790817805
Total Pages : 240 pages
Book Rating : 4.05/5 ( download)

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Download or read book Knowledge-Based Vision-Guided Robots written by Nick Barnes and published by Physica. This book was released on 2012-12-06 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many robotics researchers consider high-level vision algorithms (computational) too expensive for use in robot guidance. This book introduces the reader to an alternative approach to perception for autonomous, mobile robots. It explores how to apply methods of high-level computer vision and fuzzy logic to the guidance and control of the mobile robot. The book introduces a knowledge-based approach to vision modeling for robot guidance, where advantage is taken of constraints of the robot's physical structure, the tasks it performs, and the environments it works in. This facilitates high-level computer vision algorithms such as object recognition at a speed that is sufficient for real-time navigation. The texts presents algorithms that exploit these constraints at all levels of vision, from image processing to model construction and matching, as well as shape recovery. These algorithms are demonstrated in the navigation of a wheeled mobile robot.

Author : Berthold Horn
Publisher : MIT Press
ISBN 13 : 9780262081597
Total Pages : 530 pages
Book Rating : 4.98/5 ( download)

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Download or read book Robot Vision written by Berthold Horn and published by MIT Press. This book was released on 1986 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Presents a solid framework for understanding existing work and planning future research."--Cover.

Author : H I Christensen
Publisher : World Scientific
ISBN 13 : 9814504432
Total Pages : 200 pages
Book Rating : 4.30/5 ( download)

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Download or read book Active Robot Vision written by H I Christensen and published by World Scientific. This book was released on 1993-05-13 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contents:Editorial (H I Christensen et al.)The Harvard Binocular Head (N J Ferrier & J J Clark)Heads, Eyes, and Head-Eye Systems (K Pahlavan & J-O Eklundh)Design and Performance of TRISH, a Binocular Robot Head with Torsional Eye Movements (E Milios et al.)A Low-Cost Robot Camera Head (H I Christensen)The Surrey Attentive Robot Vision System (J R G Pretlove & G A Parker)Layered Control of a Binocular Camera Head (J L Crowley et al.)SAVIC: A Simulation, Visualization and Interactive Control Environment for Mobile Robots (C Chen & M M Trivedi)Simulation and Expectation in Sensor-Based Systems (Y Roth & R Jain)Active Avoidance: Escape and Dodging Behaviors for Reactive Control (R C Arkin et al.) Readership: Engineers and computer scientists. keywords:Active Vision;Robot Vision;Computer Vision;Model-Based Vision;Robot Navigation;Reactive Control;Robot Motion Planning;Knowledge-Based Vision;Robotics

Author : Andrew K.C. Wong
Publisher : Springer Science & Business Media
ISBN 13 : 3642873871
Total Pages : 489 pages
Book Rating : 4.74/5 ( download)

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Download or read book Machine Intelligence and Knowledge Engineering for Robotic Applications written by Andrew K.C. Wong and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the outcome of the NATO Advanced Research Workshop on Machine Intelligence and Knowledge Engineering for Robotic Applications held at Maratea, Italy in May 1986. Attendance of the workshop was by invitation only. Most of the participants and speakers are recognized leaders in the field, representing industry, government and academic c0mrnunity worldwide. The focus of the workshop was to review the recent advances of machine intelligence and knowledge engineering for robotic appli cations. It covers five main areas of interest. They are grouped into five sections: 1. Robot Vision 2. Knowledge Representation and Image Understanding 3. Robot Control and Inference Systems 4. Task Planning and Expert Systems 5. Software/Hardware Systems Also included in this book are a paper from the Poster Session and a brief report of the panel discussion on the Future Direction in Knowledge-Based Robotics. Section I of this book consists of four papers. It begins with a review of the basic concepts of computer vision, with emphasis on techniques specific for robot vision systems. The next paper pre sents a comprehensive 3-D vision system for robotic application.

Author : Stefan Florczyk
Publisher : John Wiley & Sons
ISBN 13 : 352760491X
Total Pages : 216 pages
Book Rating : 4.13/5 ( download)

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Download or read book Robot Vision written by Stefan Florczyk and published by John Wiley & Sons. This book was released on 2006-03-06 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Sabina Jeschke
Publisher : Springer
ISBN 13 : 3319425595
Total Pages : 715 pages
Book Rating : 4.97/5 ( download)

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Download or read book Industrial Internet of Things written by Sabina Jeschke and published by Springer. This book was released on 2016-10-12 with total page 715 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops the core system science needed to enable the development of a complex industrial internet of things/manufacturing cyber-physical systems (IIoT/M-CPS). Gathering contributions from leading experts in the field with years of experience in advancing manufacturing, it fosters a research community committed to advancing research and education in IIoT/M-CPS and to translating applicable science and technology into engineering practice. Presenting the current state of IIoT and the concept of cybermanufacturing, this book is at the nexus of research advances from the engineering and computer and information science domains. Readers will acquire the core system science needed to transform to cybermanufacturing that spans the full spectrum from ideation to physical realization.

Author :
Publisher :
ISBN 13 :
Total Pages : 406 pages
Book Rating : 4.48/5 ( download)

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Download or read book Intelligent Robots and Computer Vision written by and published by . This book was released on 2000 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : C.S.George Lee
Publisher : Springer Science & Business Media
ISBN 13 : 3642755305
Total Pages : 295 pages
Book Rating : 4.09/5 ( download)

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Download or read book Sensor-Based Robots: Algorithms and Architectures written by C.S.George Lee and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most industrial robots today have little or no sensory capability. Feedback is limited to information about joint positions, combined with a few interlock and timing signals. These robots can function only in an environment where the objects to be manipulated are precisely located in the proper position for the robot to grasp (i. e. , in a structured environment). For many present industrial applications, this level of performance has been adequate. With the increasing demand for high performance sensor-based robot manipulators in assembly tasks, meeting this demand and challenge can only be achieved through the consideration of: 1) efficient acquisition and processing of intemaVextemal sensory information, 2) utilization and integration of sensory information from various sensors (tactile, force, and vision) to acquire knowledge in a changing environment, 3) exploitation of inherent robotic parallel algorithms and efficient VLSI architectures for robotic computations, and finally 4) system integration into a working and functioning robotic system. This is the intent of the Workshop on Sensor-Based Robots: Algorithms and Architectures - to study the fundamental research issues and problems associated with sensor-based robot manipulators and to propose approaches and solutions from various viewpoints in improving present day robot manipula tors in the areas of sensor fusion and integration, sensory information processing, and parallel algorithms and architectures for robotic computations.

Author : Min Xie
Publisher : World Scientific
ISBN 13 : 9789812383358
Total Pages : 720 pages
Book Rating : 4.52/5 ( download)

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Download or read book Fundamentals of Robotics written by Min Xie and published by World Scientific. This book was released on 2003 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tomorrow's robots, which includes the humanoid robot, can perform task like tutoring children, working as tour guides, driving humans to and from work, do the family shopping etc. Tomorrow's robots will enhance lives in ways we never dreamed possible. No time to attend the decisive meeting on Asian strategy? Let your robot go for you and make the decisions. Not feeling well enough to go to the clinic? Let Dr Robot come to you, make a diagnosis, and get you the necessary medicine for treatment. No time to coach the soccer team this week? Let the robot do it for you. Tomorrow's robots will be the most exciting and revolutionary things to happen to the world since the invention of the automobile. It will change the way we work, play, think, and live. Because of this, nowadays robotics is one of the most dynamic fields of scientific research. These days, robotics is offered in almost every university in the world. Most mechanical engineering departments offer a similar course at both the undergraduate and graduate levels. And increasingly, many computer and electrical engineering departments are also offering it. This book will guide you, the curious beginner, from yesterday to tomorrow. The book will cover practical knowledge in understanding, developing, and using robots as versatile equipment to automate a variety of industrial processes or tasks. But, the book will also discuss the possibilities we can look forward to when we are capable of creating a vision-guided, learning machine. Readership: Upper-level undergraduates, graduates and researchers in robotics &automated systems, artificial intelligence, machine perception and computer vision.

Author : David Israel González Aguirre
Publisher : Springer
ISBN 13 : 3319978411
Total Pages : 220 pages
Book Rating : 4.13/5 ( download)

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Download or read book Visual Perception for Humanoid Robots written by David Israel González Aguirre and published by Springer. This book was released on 2018-09-01 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of model-based environmental visual perception for humanoid robots. The visual perception of a humanoid robot creates a bidirectional bridge connecting sensor signals with internal representations of environmental objects. The objective of such perception systems is to answer two fundamental questions: What & where is it? To answer these questions using a sensor-to-representation bridge, coordinated processes are conducted to extract and exploit cues matching robot’s mental representations to physical entities. These include sensor & actuator modeling, calibration, filtering, and feature extraction for state estimation. This book discusses the following topics in depth: • Active Sensing: Robust probabilistic methods for optimal, high dynamic range image acquisition are suitable for use with inexpensive cameras. This enables ideal sensing in arbitrary environmental conditions encountered in human-centric spaces. The book quantitatively shows the importance of equipping robots with dependable visual sensing. • Feature Extraction & Recognition: Parameter-free, edge extraction methods based on structural graphs enable the representation of geometric primitives effectively and efficiently. This is done by eccentricity segmentation providing excellent recognition even on noisy & low-resolution images. Stereoscopic vision, Euclidean metric and graph-shape descriptors are shown to be powerful mechanisms for difficult recognition tasks. • Global Self-Localization & Depth Uncertainty Learning: Simultaneous feature matching for global localization and 6D self-pose estimation are addressed by a novel geometric and probabilistic concept using intersection of Gaussian spheres. The path from intuition to the closed-form optimal solution determining the robot location is described, including a supervised learning method for uncertainty depth modeling based on extensive ground-truth training data from a motion capture system. The methods and experiments are presented in self-contained chapters with comparisons and the state of the art. The algorithms were implemented and empirically evaluated on two humanoid robots: ARMAR III-A & B. The excellent robustness, performance and derived results received an award at the IEEE conference on humanoid robots and the contributions have been utilized for numerous visual manipulation tasks with demonstration at distinguished venues such as ICRA, CeBIT, IAS, and Automatica.