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Intelligent active vision systems for robots

Intelligent active vision systems for robots
Author: Erik Valdemar Cuevas Jiménez
Publisher: Cuvillier Verlag
Total Pages: 229
Release: 2007-01-08
Genre: Computers
ISBN: 3867271089

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In this paper, an active vision system is developed which is based on image strategy. The image based control structure uses the optical flow algorithm for motion detection of an object in a visual scene. Because the optical flow is very sensitive to changes in illumination or to the quality of the video, it was necessary to use median filtering and erosion and dilatation morphological operations for the decrease of erroneous blobs residing in individual frames. Since the image coordinates of the object are subjected to noise, the Kalman filtering technique is adopted for robust estimation. A fuzzy controller based on the fuzzy condensed algorithm allows real time work for each captured frame. Finally, the proposed active vision system has been simulated in the development/simulation environment Matlab/Simulink.


Active Robot Vision

Active Robot Vision
Author: H. I. Christensen
Publisher: World Scientific
Total Pages: 208
Release: 1993
Genre: Technology & Engineering
ISBN: 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 Perception and Robot Vision

Active Perception and Robot Vision
Author: Arun K. Sood
Publisher: Springer Science & Business Media
Total Pages: 747
Release: 2012-12-06
Genre: Computers
ISBN: 3642772250

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Intelligent robotics has become the focus of extensive research activity. This effort has been motivated by the wide variety of applications that can benefit from the developments. These applications often involve mobile robots, multiple robots working and interacting in the same work area, and operations in hazardous environments like nuclear power plants. Applications in the consumer and service sectors are also attracting interest. These applications have highlighted the importance of performance, safety, reliability, and fault tolerance. This volume is a selection of papers from a NATO Advanced Study Institute held in July 1989 with a focus on active perception and robot vision. The papers deal with such issues as motion understanding, 3-D data analysis, error minimization, object and environment modeling, object detection and recognition, parallel and real-time vision, and data fusion. The paradigm underlying the papers is that robotic systems require repeated and hierarchical application of the perception-planning-action cycle. The primary focus of the papers is the perception part of the cycle. Issues related to complete implementations are also discussed.


Active Vision for Scene Understanding

Active Vision for Scene Understanding
Author: Grotz, Markus
Publisher: KIT Scientific Publishing
Total Pages: 202
Release: 2021-12-21
Genre: Computers
ISBN: 3731511010

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Visual perception is one of the most important sources of information for both humans and robots. A particular challenge is the acquisition and interpretation of complex unstructured scenes. This work contributes to active vision for humanoid robots. A semantic model of the scene is created, which is extended by successively changing the robot's view in order to explore interaction possibilities of the scene.


Robotic Vision: Technologies for Machine Learning and Vision Applications

Robotic Vision: Technologies for Machine Learning and Vision Applications
Author: Garcia-Rodriguez, Jose
Publisher: IGI Global
Total Pages: 535
Release: 2012-12-31
Genre: Technology & Engineering
ISBN: 1466627034

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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 Vision for Sociable Robots

Active Vision for Sociable Robots
Author:
Publisher:
Total Pages: 12
Release: 2001
Genre:
ISBN:

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In 1991, Ballard described the implications of having a visual system that could actively position the camera coordinates in response to physical stimuli. In humanoid robotic systems, or in any animate vision system that interacts with people, social dynamics provide additional levels of constraint and provide additional opportunities for processing economy. In this paper, we describe an integrated visual-motor system that has been implemented on a humanoid robot to negotiate the robot's physical constraints, the perceptual needs of the robot's behavioral and motivational systems, and the social implications of motor acts.


Vision for Robotics

Vision for Robotics
Author: Danica Kragic
Publisher: Now Publishers Inc
Total Pages: 94
Release: 2009
Genre: Artificial vision
ISBN: 1601982607

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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.


Robot Vision

Robot Vision
Author: A. Pugh
Publisher: Springer Science & Business Media
Total Pages: 347
Release: 2013-06-29
Genre: Technology & Engineering
ISBN: 3662097710

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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.


Active Sensor Planning for Multiview Vision Tasks

Active Sensor Planning for Multiview Vision Tasks
Author: Shengyong Chen
Publisher: Springer Science & Business Media
Total Pages: 270
Release: 2008-01-23
Genre: Technology & Engineering
ISBN: 3540770720

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This unique book explores the important issues in studying for active visual perception. The book’s eleven chapters draw on recent important work in robot vision over ten years, particularly in the use of new concepts. Implementation examples are provided with theoretical methods for testing in a real robot system. With these optimal sensor planning strategies, this book will give the robot vision system the adaptability needed in many practical applications.