Active Robot Vision

Active Robot Vision

Author: H. I. Christensen

Publisher: World Scientific

Published: 1993

Total Pages: 208

ISBN-13: 9789810213213

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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.


Active Robot Vision: Camera Heads, Model Based Navigation And Reactive Control

Active Robot Vision: Camera Heads, Model Based Navigation And Reactive Control

Author: Kevin Bowyer

Publisher: World Scientific

Published: 1993-05-13

Total Pages: 200

ISBN-13: 9814504432

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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


Behavior-based Robotics

Behavior-based Robotics

Author: Ronald C. Arkin

Publisher: MIT Press

Published: 1998

Total Pages: 522

ISBN-13: 9780262011655

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Foreword by Michael Arbib This introduction to the principles, design, and practice of intelligent behavior-based autonomous robotic systems is the first true survey of this robotics field. The author presents the tools and techniques central to the development of this class of systems in a clear and thorough manner. Following a discussion of the relevant biological and psychological models of behavior, he covers the use of knowledge and learning in autonomous robots, behavior-based and hybrid robot architectures, modular perception, robot colonies, and future trends in robot intelligence. The text throughout refers to actual implemented robots and includes many pictures and descriptions of hardware, making it clear that these are not abstract simulations, but real machines capable of perception, cognition, and action.


Computational Principles of Mobile Robotics

Computational Principles of Mobile Robotics

Author: Gregory Dudek

Publisher: Cambridge University Press

Published: 2024-01-31

Total Pages: 450

ISBN-13: 1108597874

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Now in its third edition, this textbook is a comprehensive introduction to the multidisciplinary field of mobile robotics, which lies at the intersection of artificial intelligence, computational vision, and traditional robotics. Written for advanced undergraduates and graduate students in computer science and engineering, the book covers algorithms for a range of strategies for locomotion, sensing, and reasoning. The new edition includes recent advances in robotics and intelligent machines, including coverage of human-robot interaction, robot ethics, and the application of advanced AI techniques to end-to-end robot control and specific computational tasks. This book also provides support for a number of algorithms using ROS 2, and includes a review of critical mathematical material and an extensive list of sample problems. Researchers as well as students in the field of mobile robotics will appreciate this comprehensive treatment of state-of-the-art methods and key technologies.


Applications Of Ai, Machine Vision And Robotics

Applications Of Ai, Machine Vision And Robotics

Author: Kim L Boyer

Publisher: World Scientific

Published: 1995-02-28

Total Pages: 267

ISBN-13: 9814500887

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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.


An Introduction To Artificial Intelligence

An Introduction To Artificial Intelligence

Author: Janet Finlay

Publisher: CRC Press

Published: 2020-10-29

Total Pages:

ISBN-13: 100011094X

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An authoritative and accessible one-stop resource, An Introduction to Artificial Intelligence presents the first full examination of AI. Designed to provide an understanding of the foundations of artificial intelligence, it examines the central computational techniques employed by AI, including knowledge representation, search, reasoning, and learning, as well as the principal application domains of expert systems, natural language, vision, robotics, software agents and cognitive modeling. Many of the major philosophical and ethical issues of AI are also introduced. Throughout the volume, the authors provide detailed, well-illustrated treatments of each topic with abundant examples and exercises. The authors bring this exciting field to life by presenting a substantial and robust introduction to artificial intelligence in a clear and concise coursebook form. This book stands as a core text for all computer scientists approaching AI for the first time.


Computer Perceptual Organization in Computer Vision

Computer Perceptual Organization in Computer Vision

Author: Sudeep Sarkar

Publisher: World Scientific

Published: 1994

Total Pages: 254

ISBN-13: 981021832X

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This book describes the design of a complete, flexible system for perceptual organization in computer vision using graph theoretic techniques, voting methods, and an extension of the Bayesian networks called perceptual inference networks (PINs). The PIN, which forms the heart of the system and which is based on Bayesian probabilistic networks, exhibits potential for application in several areas of computer vision as well as a range of other spatial reasoning tasks. The text includes a highly comprehensive, classificatory review of prior work in perceptual organization and, within that framework, identifies key areas for future work by the computer vision research community.


Experimental Environments for Computer Vision and Image Processing

Experimental Environments for Computer Vision and Image Processing

Author: Henrik I. Christensen

Publisher: World Scientific

Published: 1994

Total Pages: 312

ISBN-13: 9789810215101

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To fully appreciate new methods developed in the area of machine vision it is necessary to have facilities which allow experimental verification of such methods. Experimental research is typically a very expensive task in terms of manpower, and consequently it is desirable to adopt standard facilities/methods which allow more efficient experimental investigations. In this volume a range of different experimental environments which facilitate construction and integration of machine vision systems is described. The environments presented cover areas such as robotics, research in individual machine vision methods, system integration, knowledge representation, and distributed computing. The set of environments covered include commercial systems, public domain software and laboratory prototype, showing the diversity of the problem of experimental research in machine vision and providing the reader with an overview of the area.


Document Image Analysis

Document Image Analysis

Author: Horst Bunke

Publisher: World Scientific

Published: 1994

Total Pages: 282

ISBN-13: 9810220464

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Interest in the automatic processing and analysis of document images has been rapidly increasing during the past few years. This book addresses the different subfields of document image analysis, including preprocessing and segmentation, form processing, handwriting recognition, line drawing and map processing, and contextual processing.


Progress in Automatic Signature Verification

Progress in Automatic Signature Verification

Author: R‚jean Plamondon

Publisher: World Scientific

Published: 1994

Total Pages: 188

ISBN-13: 9789810218522

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This volume highlights some of the multidisciplinary aspects of automatic signature verification. The first two chapters serve as an introduction. The first constitutes a review of the literature of the past five years. The second addresses the problem of parallel strategies to construct and optimize feature vectors to describe a signature. The remaining six chapters are divided into two sections: research on static systems and research on dynamic systems. The section on off-line systems describes a system, based on cooperative neural networks for the automatic processing of signatures on checks, for background removal as well as a model-based system that segments the signature into elements which are then processed locally and globally to evaluate the similarity between two specimens. The three papers on on-line systems compare three verification methods, based on statistical models of signature features using the same benchmark, describe a step-wise verification method based on the analysis of the signature components and describe the different design phases of an operational system, focusing on the various decisions that have to be made throughout the development of such a prototype.