Intelligent Robots And Computer Vision X
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Intelligent Robots And Computer Vision X
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Author :
language : en
Publisher:
Release Date : 1992
Intelligent Robots And Computer Vision X written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with categories.
Intelligent Robots And Computer Vision
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Author :
language : en
Publisher:
Release Date : 1995
Intelligent Robots And Computer Vision written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Artificial intelligence categories.
Intelligent Robots And Computer Vision X
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Author :
language : en
Publisher:
Release Date : 1992
Intelligent Robots And Computer Vision X written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with categories.
Intelligent Robots And Computer Vision
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Author : David Paul Casasent
language : en
Publisher:
Release Date : 1988
Intelligent Robots And Computer Vision written by David Paul Casasent and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Computers categories.
Artificial Intelligence For Robotics
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Author : Francis X. Govers
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-08-30
Artificial Intelligence For Robotics written by Francis X. Govers and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-30 with Computers categories.
Bring a new degree of interconnectivity to your world by building your own intelligent robots Key Features Leverage fundamentals of AI and robotics Work through use cases to implement various machine learning algorithms Explore Natural Language Processing (NLP) concepts for efficient decision making in robots Book DescriptionArtificial Intelligence for Robotics starts with an introduction to Robot Operating Systems (ROS), Python, robotic fundamentals, and the software and tools that are required to start out with robotics. You will learn robotics concepts that will be useful for making decisions, along with basic navigation skills. As you make your way through the chapters, you will learn about object recognition and genetic algorithms, which will teach your robot to identify and pick up an irregular object. With plenty of use cases throughout, you will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks. By the end of this book, you will have learned to give your robot an artificial personality using simulated intelligence.What you will learn Get started with robotics and artificial intelligence Apply simulation techniques to give your robot an artificial personality Understand object recognition using neural networks and supervised learning techniques Pick up objects using genetic algorithms for manipulation Teach your robot to listen using NLP via an expert system Use machine learning and computer vision to teach your robot how to avoid obstacles Understand path planning, decision trees, and search algorithms in order to enhance your robot Who this book is for If you have basic knowledge about robotics and want to build or enhance your existing robot’s intelligence, then Artificial Intelligence for Robotics is for you. This book is also for enthusiasts who want to gain knowledge of AI and robotics.
Multispectral Image Processing And Pattern Recognition
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Author : Jun Shen
language : en
Publisher: World Scientific
Release Date : 2001-06-04
Multispectral Image Processing And Pattern Recognition written by Jun Shen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-06-04 with Computers categories.
Contents:Introduction (J Shen et al.)3D Articulated Object Understanding, Learning, and Recognition from 2D Images (P S P Wang)On Geometric and Orthogonal Moments (J Shen et al.)Multispectral Image Processing: The Nature Factor (W R Watkins)Detection of Sea Surface Small Targets in Infrared Images Based on Multilevel Filter and Minimum Risk Bayes Test (Y-S Moon et al.)Minimum Description Length Method for Facet Matching (S Maybank & R Fraile)An Integrated Vision System for ALV Navigation (X Ye et al.)Fuzzy Bayesian Networks — A General Formalism for Representation, Inference and Learning with Hybrid Bayesian Networks (H Pan & L Liu)Extraction of Bibliography Information Based on Image of Book Cover (H Yang et al.)Radar Target Recognition Based on Parameterized High Resolution Range Profiles (X Liao & Z Bao) Readership: Computer scientists and electrical engineers. Keywords:
Sensor Based Intelligent Robots
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Author : Gregory D. Hager
language : en
Publisher: Springer
Release Date : 2003-08-06
Sensor Based Intelligent Robots written by Gregory D. Hager and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-06 with Technology & Engineering categories.
Robotics is a highly interdisciplinary research topic, that requires integration of methods for mechanics, control engineering, signal processing, planning, gra- ics, human-computer interaction, real-time systems, applied mathematics, and software engineering to enable construction of fully operational systems. The diversity of topics needed to design, implement, and deploy such systems implies that it is almost impossible for individual teams to provide the needed critical mass for such endeavors. To facilitate interaction and progress on sensor-based intelligent robotics inter-disciplinary workshops are necessary through which - depthdiscussioncanbeusedforcrossdisseminationbetweendi?erentdisciplines. The Dagstuhl foundation has organized a number of workshops on Mod- ing and Integration of Sensor Based Intelligent Robot Systems. The Dagstuhl seminars take place over a full week in a beautiful setting in the Saarland in Germany. The setting provides an ideal environment for in-depth presentations and rich interaction between the participants. This volume contains papers presented during the fourth workshop held - tober 15–20, 2000. All papers were submitted by workshop attendees, and were reviewed by at least one reviewer. We wish to thank all of the reviewers for their invaluable help in making this a high-quality selection of papers. We gratefully acknowledge the support of the Schloss Dagstuhl Foundation and the sta? at Springer-Verlag. Without their support the production of this volume would not have been possible.
Intelligent Robotics
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Author : Zhiwen Yu
language : en
Publisher: Springer Nature
Release Date : 2023-02-17
Intelligent Robotics written by Zhiwen Yu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-17 with Computers categories.
This book constitutes selected papers presented during the Third China Annual Intelligent Robotics Conference, CCF CIRAC 2022, held in Xi' an, China, in December 2022. The 35 papers presented were thoroughly reviewed and selected from the 120 qualified submissions. They are organized in the following topical sections: robot safety; intelligent robot sensing; autonomous robot navigation; artificial intelligence and cloud robot; unmanned cluster collaboration; natural human-computer interaction; other robot-related technologies.
Efficient Deep Neural Network For Intelligent Robot System Focusing On Visual Signal Processing
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Author : Xiao Bai
language : en
Publisher: Frontiers Media SA
Release Date : 2023-05-04
Efficient Deep Neural Network For Intelligent Robot System Focusing On Visual Signal Processing written by Xiao Bai and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-04 with Science categories.
Graphics Recognition Recent Advances And Perspectives
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Author : Josep Lladós
language : en
Publisher: Springer
Release Date : 2004-10-14
Graphics Recognition Recent Advances And Perspectives written by Josep Lladós and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-10-14 with Computers categories.
1 Thisbookcontainsrefereedandimprovedpaperspresentedatthe5thIAPR - ternational Workshop on Graphics Recognition (GREC 2003). GREC 2003 was held in the Computer Vision Center, in Barcelona (Spain) during July 30–31, 2003. TheGRECworkshopisthemainactivityoftheIAPR-TC10,theTechnical 2 Committee on Graphics Recognition . Edited volumes from the previous wo- shops in the series are available as Lecture Notes in Computer Science: LNCS Volume 1072 (GREC 1995 at Penn State University, USA), LNCS Volume 1389 (GREC 1997 in Nancy, France), LNCS Volume 1941 (GREC 1999 in Jaipur, India), and LNCS Volume 2390 (GREC 2001 in Kingston, Canada). Graphics recognition is a particular ?eld in the domain of document ana- sis that combines pattern recognition and image processing techniques for the analysis of any kind of graphical information in documents, either from paper or electronic formats. Topics of interest for the graphics recognition community are: vectorization; symbol recognition; analysis of graphic documents with - agrammatic notation like electrical diagrams, architectural plans, engineering drawings, musical scores, maps, etc. ; graphics-based information retrieval; p- formance evaluation in graphics recognition; and systems for graphics recog- tion. Inadditiontotheclassicobjectives,inrecentyearsgraphicsrecognitionhas faced up to new and promising perspectives, some of them in conjunction with other, a?ne scienti?c communities. Examples of that are sketchy interfaces and on-line graphics recognition in the framework of human computer interaction, or query by graphic content for retrieval and browsing in large-format graphic d- uments, digital libraries and Web applications. Thus, the combination of classic challenges with new research interests gives the graphics recognition ?eld an active scienti?c community, with a promising future.