A Guidance Scheme for Automated Tetrahedral Structure Assembly Based on Machine Vision PDF Download
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Author: William R. Doggett
Publisher:
ISBN:
Category : Robot vision
Languages : en
Pages : 17
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Book Description
Author: William R. Doggett
Publisher:
ISBN:
Category : Robot vision
Languages : en
Pages : 17
Get Book Here
Book Description
Author: William R. Doggett
Publisher:
ISBN:
Category : Robot vision
Languages : en
Pages : 24
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Book Description
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 180
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 180
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Book Description
Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 892
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Book Description
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 1146
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Book Description
Author: Yangsheng Xu
Publisher: Springer Science & Business Media
ISBN: 1461535883
Category : Technology & Engineering
Languages : en
Pages : 291
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Book Description
Robotic technology offers two potential benefits for future space exploration. One benefit is minimizing the risk that astronauts face. The other benefit is increasing their productivity. Realizing the benefits of robotic technology in space will require solving several problems which are unique and now becoming active research topics. One of the most important research areas is dynamics, control, motion and planning for space robots by considering the dynamic interaction between the robot and the base (space station, space shuttle, or satellite). Any inefficiency in the planning and control can considerably risk by success of the space mission. Space Robotics: Dynamics and Control presents a collection of papers concerning fundamental problems in dynamics and control of space robots, focussing on issues relevant to dynamic base/robot interaction. The authors are all pioneers in theoretical analysis and experimental systems development of space robot technology. The chapters are organized within three problem areas: dynamics problems, nonholonomic nature problems, and control problems. This collection provides a solid reference for researchers in robotics, mechanics, control, and astronautical science.
Author:
Publisher:
ISBN:
Category : Mechanics, Applied
Languages : en
Pages : 724
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Book Description
Author: Steven M. LaValle
Publisher: Cambridge University Press
ISBN: 9780521862059
Category : Computers
Languages : en
Pages : 844
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Book Description
Planning algorithms are impacting technical disciplines and industries around the world, including robotics, computer-aided design, manufacturing, computer graphics, aerospace applications, drug design, and protein folding. Written for computer scientists and engineers with interests in artificial intelligence, robotics, or control theory, this is the only book on this topic that tightly integrates a vast body of literature from several fields into a coherent source for teaching and reference in a wide variety of applications. Difficult mathematical material is explained through hundreds of examples and illustrations.
Author: Hugh M. Cartwright
Publisher: Royal Society of Chemistry
ISBN: 1788017897
Category : Science
Languages : en
Pages : 564
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Book Description
Progress in the application of machine learning (ML) to the physical and life sciences has been rapid. A decade ago, the method was mainly of interest to those in computer science departments, but more recently ML tools have been developed that show significant potential across wide areas of science. There is a growing consensus that ML software, and related areas of artificial intelligence, may, in due course, become as fundamental to scientific research as computers themselves. Yet a perception remains that ML is obscure or esoteric, that only computer scientists can really understand it, and that few meaningful applications in scientific research exist. This book challenges that view. With contributions from leading research groups, it presents in-depth examples to illustrate how ML can be applied to real chemical problems. Through these examples, the reader can both gain a feel for what ML can and cannot (so far) achieve, and also identify characteristics that might make a problem in physical science amenable to a ML approach. This text is a valuable resource for scientists who are intrigued by the power of machine learning and want to learn more about how it can be applied in their own field.
