Semantic Labeling of Places with Mobile Robots, ?scar Martinez Mozos

Автор: Carneiro
Название: Deep Learning and Data Labeling for Medical Applications
ISBN: 3319469754 ISBN-13(EAN): 9783319469751
Издательство: Springer
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Цена: 6988.00 р.
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Описание: This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2016, and the Second International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2016. The 28 revised regular papers presented in this book were carefully reviewed and selected from a total of 52 submissions. The 7 papers selected for LABELS deal with topics from the following fields: crowd-sourcing methods; active learning; transfer learning; semi-supervised learning; and modeling of label uncertainty.

Автор: Siegwart Roland
Название: Introduction to autonomous mobile robots
ISBN: 0262015358 ISBN-13(EAN): 9780262015356
Издательство: MIT Press
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Цена: 12697.00 р.
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Описание:

The second edition of a comprehensive introduction to all aspects of mobile robotics, from algorithms to mechanisms.

Mobile robots range from the Mars Pathfinder mission's teleoperated Sojourner to the cleaning robots in the Paris Metro. This text offers students and other interested readers an introduction to the fundamentals of mobile robotics, spanning the mechanical, motor, sensory, perceptual, and cognitive layers the field comprises. The text focuses on mobility itself, offering an overview of the mechanisms that allow a mobile robot to move through a real world environment to perform its tasks, including locomotion, sensing, localization, and motion planning. It synthesizes material from such fields as kinematics, control theory, signal analysis, computer vision, information theory, artificial intelligence, and probability theory. The book presents the techniques and technology that enable mobility in a series of interacting modules. Each chapter treats a different aspect of mobility, as the book moves from low-level to high-level details. It covers all aspects of mobile robotics, including software and hardware design considerations, related technologies, and algorithmic techniques.

This second edition has been revised and updated throughout, with 130 pages of new material on such topics as locomotion, perception, localization, and planning and navigation. Problem sets have been added at the end of each chapter. Bringing together all aspects of mobile robotics into one volume, Introduction to Autonomous Mobile Robots can serve as a textbook or a working tool for beginning practitioners.

Curriculum developed by Dr. Robert King, Colorado School of Mines, and Dr. James Conrad, University of North Carolina-Charlotte, to accompany the National Instruments LabVIEW Robotics Starter Kit, are available. Included are 13 (6 by Dr. King and 7 by Dr. Conrad) laboratory exercises for using the LabVIEW Robotics Starter Kit to teach mobile robotics concepts.

Автор: Juan Andrade Cetto; Alberto Sanfeliu
Название: Environment Learning for Indoor Mobile Robots
ISBN: 3642069312 ISBN-13(EAN): 9783642069314
Издательство: Springer
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Цена: 16977.00 р.
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Описание: This monograph covers theoretical aspects of simultaneous localization and map building for mobile robots. One of the most relevant topics covered in this monograph is the theoretical formalism of partial observability in SLAM.

Автор: Leandro dos Santos Coelho
Название: Mobile Robots: The Evolutionary Approach
ISBN: 3642080634 ISBN-13(EAN): 9783642080630
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Researchers have obtained robots that display an amazing slew of behaviors and perform a multitude of tasks, including perception of environment, negotiating rough terrain, and pushing boxes.