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Robot Vision
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 att...
Robot Vision
"Presents a solid framework for understanding existing work and planning future research."--Cover.
Robot Vision
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.
Unifying Perspectives in Computational and Robot Vision
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.
Active Robot Vision
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.
Learning-Based Robot Vision
Industrial robots carry out simple tasks in customized environments for which it is typical that nearly all e?ector movements can be planned during an - line phase. A continual control based on sensory feedback is at most necessary at e?ector positions near target locations utilizing torque or haptic sensors. It is desirable to develop new-generation robots showing higher degrees of autonomy for solving high-level deliberate tasks in natural and dynamic en- ronments. Obviously, camera-equipped robot systems, which take and process images and make use of the visual data, can solve more sophisticated robotic tasks. The development of a (semi-) autonomous camera-equipped robot must be grounded ...
Robot Vision
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.
Unifying Perspectives in Computational and Robot Vision
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.
Robot Vision
On behalf of the organizerswe would like to welcome all participants to the “Robot Vision 2001” workshop. Our objective has been to bring together - searchersinrobotvision,andtopromoteinteractionanddebate. Participants oftheworkshopcomefromEurope,US,theMiddleEast,theFarEast,andof coursefromNewZealand. Fifty-twopapersweresubmittedtotheworkshop,andeachpaperwasth- oughlyreviewedbyatleastthreereviewers. Seventeenpaperswereselectedfor oral presentation, and seventeen papers were selected for poster presentation. There were no invited technical papers, to give all participants the sense of equalopportunity. Thetechnicalscopeoftheworkshopisverywide,andincludespresentations onmotionanalysis,3Dmeasurements,calibration,navigation,objectrecog- tion,andmore. Thescheduleoftheworkshopwasthereforepreparedtoallow, inadditiontothetechnicalpresentation,ampletimefordiscussionsandint- action.
Active Perception and Robot Vision
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.
