Simultaneous Localization and Mapping for Mobile Robots: Introduction and Methods

Simultaneous Localization and Mapping for Mobile Robots: Introduction and Methods

Author: Fernández-Madrigal, Juan-Antonio

Publisher: IGI Global

Published: 2012-09-30

Total Pages: 497

ISBN-13: 1466621052

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As mobile robots become more common in general knowledge and practices, as opposed to simply in research labs, there is an increased need for the introduction and methods to Simultaneous Localization and Mapping (SLAM) and its techniques and concepts related to robotics. Simultaneous Localization and Mapping for Mobile Robots: Introduction and Methods investigates the complexities of the theory of probabilistic localization and mapping of mobile robots as well as providing the most current and concrete developments. This reference source aims to be useful for practitioners, graduate and postgraduate students, and active researchers alike.


Simultaneous Localization and Mapping for Mobile Robots

Simultaneous Localization and Mapping for Mobile Robots

Author: Juan-Antonio Fernández-Madrigal

Publisher:

Published: 2013

Total Pages: 483

ISBN-13: 9781466621060

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"This book investigates the complexities of the theory of probabilistic localization and mapping of mobile robots as well as providing the most current and concrete developments"--


Simultaneous Localization and Mapping for Mobile Robots

Simultaneous Localization and Mapping for Mobile Robots

Author: Juan-Antonio Fernández-Madrigal

Publisher:

Published: 2013

Total Pages: 0

ISBN-13: 9781466621046

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"This book investigates the complexities of the theory of probabilistic localization and mapping of mobile robots as well as providing the most current and concrete developments"--


Robotics and Cognitive Approaches to Spatial Mapping

Robotics and Cognitive Approaches to Spatial Mapping

Author: Margaret E. Jefferies

Publisher: Springer Science & Business Media

Published: 2008-01-10

Total Pages: 657

ISBN-13: 3540753869

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This important work is an attempt to synthesize two areas that need to be treated in tandem. The book brings together the fields of robot spatial mapping and cognitive spatial mapping, which share some common core problems. One would expect some cross-fertilization of research between the two areas to have occurred, yet this has begun only recently. There are now signs that some synthesis is happening, so this work is a timely one for students and engineers in robotics.


Vision Based Autonomous Robot Navigation

Vision Based Autonomous Robot Navigation

Author: Amitava Chatterjee

Publisher: Springer

Published: 2012-10-13

Total Pages: 235

ISBN-13: 3642339654

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This monograph is devoted to the theory and development of autonomous navigation of mobile robots using computer vision based sensing mechanism. The conventional robot navigation systems, utilizing traditional sensors like ultrasonic, IR, GPS, laser sensors etc., suffer several drawbacks related to either the physical limitations of the sensor or incur high cost. Vision sensing has emerged as a popular alternative where cameras can be used to reduce the overall cost, maintaining high degree of intelligence, flexibility and robustness. This book includes a detailed description of several new approaches for real life vision based autonomous navigation algorithms and SLAM. It presents the concept of how subgoal based goal-driven navigation can be carried out using vision sensing. The development concept of vision based robots for path/line tracking using fuzzy logic is presented, as well as how a low-cost robot can be indigenously developed in the laboratory with microcontroller based sensor systems. The book describes successful implementation of integration of low-cost, external peripherals, with off-the-shelf procured robots. An important highlight of the book is that it presents a detailed, step-by-step sample demonstration of how vision-based navigation modules can be actually implemented in real life, under 32-bit Windows environment. The book also discusses the concept of implementing vision based SLAM employing a two camera based system.


Introduction to Mobile Robot Control

Introduction to Mobile Robot Control

Author: Spyros G Tzafestas

Publisher: Elsevier

Published: 2013-10-03

Total Pages: 718

ISBN-13: 0124171036

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Introduction to Mobile Robot Control provides a complete and concise study of modeling, control, and navigation methods for wheeled non-holonomic and omnidirectional mobile robots and manipulators. The book begins with a study of mobile robot drives and corresponding kinematic and dynamic models, and discusses the sensors used in mobile robotics. It then examines a variety of model-based, model-free, and vision-based controllers with unified proof of their stabilization and tracking performance, also addressing the problems of path, motion, and task planning, along with localization and mapping topics. The book provides a host of experimental results, a conceptual overview of systemic and software mobile robot control architectures, and a tour of the use of wheeled mobile robots and manipulators in industry and society. Introduction to Mobile Robot Control is an essential reference, and is also a textbook suitable as a supplement for many university robotics courses. It is accessible to all and can be used as a reference for professionals and researchers in the mobile robotics field. - Clearly and authoritatively presents mobile robot concepts - Richly illustrated throughout with figures and examples - Key concepts demonstrated with a host of experimental and simulation examples - No prior knowledge of the subject is required; each chapter commences with an introduction and background


Robot Navigation from Nature

Robot Navigation from Nature

Author: Michael John Milford

Publisher: Springer Science & Business Media

Published: 2008-02-11

Total Pages: 203

ISBN-13: 3540775196

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This pioneering book describes the development of a robot mapping and navigation system inspired by models of the neural mechanisms underlying spatial navigation in the rodent hippocampus. Computational models of animal navigation systems have traditionally had limited performance when implemented on robots. This is the first research to test existing models of rodent spatial mapping and navigation on robots in large, challenging, real world environments.


Mobile Robotics

Mobile Robotics

Author: Alonzo Kelly

Publisher: Cambridge University Press

Published: 2013-11-11

Total Pages: 717

ISBN-13: 110703115X

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Introduction -- Math fundamentals -- Numerical methods -- Dynamics -- Optimal estimation -- State estimation -- Control -- Perception -- Localization and mapping -- Motion planning


Simultaneous Localization and Mapping

Simultaneous Localization and Mapping

Author: Zhan Wang

Publisher: World Scientific

Published: 2011

Total Pages: 208

ISBN-13: 981435032X

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Simultaneous localization and mapping (SLAM) is a process where an autonomous vehicle builds a map of an unknown environment while concurrently generating an estimate for its location. This book is concerned with computationally efficient solutions to the large scale SLAM problems using exactly sparse Extended Information Filters (EIF). The invaluable book also provides a comprehensive theoretical analysis of the properties of the information matrix in EIF-based algorithms for SLAM. Three exactly sparse information filters for SLAM are described in detail, together with two efficient and exact methods for recovering the state vector and the covariance matrix. Proposed algorithms are extensively evaluated both in simulation and through experiments.


FastSLAM

FastSLAM

Author: Michael Montemerlo

Publisher: Springer

Published: 2007-04-27

Total Pages: 129

ISBN-13: 3540464026

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This monograph describes a new family of algorithms for the simultaneous localization and mapping (SLAM) problem in robotics, called FastSLAM. The FastSLAM-type algorithms have enabled robots to acquire maps of unprecedented size and accuracy, in a number of robot application domains and have been successfully applied in different dynamic environments, including a solution to the problem of people tracking.