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Robot Localization And Map Building

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Mobile Robot Localization And Map Building

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Author : Jose A. Castellanos
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Mobile Robot Localization And Map Building written by Jose A. Castellanos and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.

During the last decade, many researchers have dedicated their efforts to constructing revolutionary machines and to providing them with forms of artificial intelligence to perform some of the most hazardous, risky or monotonous tasks historically assigned to human beings. Among those machines, mobile robots are undoubtedly at the cutting edge of current research directions. A rough classification of mobile robots can be considered: on the one hand, mobile robots oriented to human-made indoor environments; on the other hand, mobile robots oriented to unstructured outdoor environments, which could include flying oriented robots, space-oriented robots and underwater robots. The most common motion mechanism for surface mobile robots is the wheel-based mechanism, adapted both to flat surfaces, found in human-made environments, and to rough terrain, found in outdoor environments. However, some researchers have reported successful developments with leg-based mobile robots capable of climbing up stairs, although they require further investigation. The research work presented here focuses on wheel-based mobile robots that navigate in human-made indoor environments. The main problems described throughout this book are: Representation and integration of uncertain geometric information by means of the Symmetries and Perturbations Model (SPmodel). This model combines the use of probability theory to represent the imprecision in the location of a geometric element, and the theory of symmetries to represent the partiality due to characteristics of each type of geometric element. A solution to the first location problem, that is, the computation of an estimation for the mobile robot location when the vehicle is completely lost in the environment. The problem is formulated as a search in an interpretation tree using efficient matching algorithms and geometric constraints to reduce the size of the solution space. The book proposes a new probabilistic framework adapted to the problem of simultaneous localization and map building for mobile robots: the Symmetries and Perturbations Map (SPmap). This framework has been experimentally validated by a complete experiment which profited from ground-truth to accurately validate the precision and the appropriateness of the approach. The book emphasizes the generality of the solutions proposed to the different problems and their independence with respect to the exteroceptive sensors mounted on the mobile robot. Theoretical results are complemented by real experiments, where the use of multisensor-based approaches is highlighted.

Robot Localization And Map Building

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Author : Hanafiah Yussof
language : en
Publisher: BoD – Books on Demand
Release Date : 2010-03-01

Robot Localization And Map Building written by Hanafiah Yussof and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-01 with Computers categories.

Localization and mapping are the essence of successful navigation in mobile platform technology. Localization is a fundamental task in order to achieve high levels of autonomy in robot navigation and robustness in vehicle positioning. Robot localization and mapping is commonly related to cartography, combining science, technique and computation to build a trajectory map that reality can be modelled in ways that communicate spatial information effectively. This book describes comprehensive introduction, theories and applications related to localization, positioning and map building in mobile robot and autonomous vehicle platforms. It is organized in twenty seven chapters. Each chapter is rich with different degrees of details and approaches, supported by unique and actual resources that make it possible for readers to explore and learn the up to date knowledge in robot navigation technology. Understanding the theory and principles described in this book requires a multidisciplinary background of robotics, nonlinear system, sensor network, network engineering, computer science, physics, etc.

Robot Localization And Map Building

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Author : Hanafiah Yussof
language : en
Publisher: IntechOpen
Release Date : 2010-03-01

Robot Localization And Map Building written by Hanafiah Yussof and has been published by IntechOpen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-01 with Computers categories.

Simultaneous Localization And Mapping For Mobile Robots Introduction And Methods

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Author : Fernández-Madrigal, Juan-Antonio
language : en
Publisher: IGI Global
Release Date : 2012-09-30

Simultaneous Localization And Mapping For Mobile Robots Introduction And Methods written by Fernández-Madrigal, Juan-Antonio and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-30 with Technology & Engineering categories.

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.

Robot Localization And Map Building

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Author : Hanafiah Yussof
language : en
Publisher: IntechOpen
Release Date : 2010-03-01

Environment Learning For Indoor Mobile Robots

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Author : Juan Andrade Cetto
language : en
Publisher: Springer Tracts in Advanced Robotics
Release Date : 2006-05-22

Environment Learning For Indoor Mobile Robots written by Juan Andrade Cetto and has been published by Springer Tracts in Advanced Robotics this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-22 with Computers categories.

This monograph covers theoretical aspects of simultaneous localization and map building for mobile robots, such as estimation stability, nonlinear models for the propagation of uncertainties, temporal landmark compatibility, as well as issues pertaining the coupling of control and SLAM. One of the most relevant topics covered in this monograph is the theoretical formalism of partial observability in SLAM. The authors show that the typical approach to SLAM using a Kalman filter results in marginal filter stability, making the final reconstruction estimates dependant on the initial vehicle estimates. However, by anchoring the map to a fixed landmark in the scene, they are able to attain full observability in SLAM, with reduced covariance estimates. This result earned the first author the EURON Georges Giralt Best PhD Award in its fourth edition, and has prompted the SLAM community to think in new ways to approach the mapping problem. For example, by creating local maps anchored on a landmark, or on the robot initial estimate itself, and then using geometric relations to fuse local maps globally. This monograph is appropriate as a text for an introductory estimation-theoretic approach to the SLAM problem, and as a reference book for people who work in mobile robotics research in general. Juan Andrade Cetto holds a BSEE degree from CETYS University, 1993; an MSEE degree from Purdue University, 1995; and a doctorate from the Technical University of Catalonia, 2003. He is currently with the Institut the Robòtica i Informàtica Industrial, CSIC-UPC. Alberto Sanfeliu received the BSEE and PhD degrees from the Technical University of Catalonia in 1978 and 1982, respectively. He joined the UPC faculty in 1981, and is since 1984, Professor with the Systems Engineering Department, for which he was appointed Head in 2005. Dr. Sanfeliu is also affiliated to the Institut the Robòtica i Informàtica Industrial, CSIC-UPC. His current research areas are Pattern Recognition, Computer Vision, and Robotics. He is Fellow of IAPR.

3d Robotic Mapping

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Author : Andreas Nüchter
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-01-17

3d Robotic Mapping written by Andreas Nüchter and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-17 with Technology & Engineering categories.

Focuses on acquiring spatial models of physical environments through mobile robots The robotic mapping problem is commonly referred to as SLAM (simultaneous localization and mapping). 3D maps are necessary to avoid collisions with complex obstacles and to self-localize in six degrees of freedom (x-, y-, z-position, roll, yaw and pitch angle) New solutions to the 6D SLAM problem for 3D laser scans are proposed and a wide variety of applications are presented

Slam Techniques Application For Mobile Robot In Rough Terrain

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Author : Andrii Kudriashov
language : en
Publisher: Springer Nature
Release Date : 2020-07-08

Slam Techniques Application For Mobile Robot In Rough Terrain written by Andrii Kudriashov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-08 with Technology & Engineering categories.

This book presents the development of SLAM-based mobile robot control systems as an integrated approach that combines the localization, mapping and motion control fields, and reviews several techniques that represent the basics of the mathematical description of wheeled robots, their navigation and path planning approaches, localization and map creating techniques. It examines SLAM paradigms and Bayesian recursive state and map estimation techniques, which include Kalman and particle filtering, and enable the development of a SLAM-based integrated system for the inspection task performed. The system’s development is divided into two phases: a single-robot approach and multirobot inspection system. The book describes an original approach to 2D SLAM in multi-floor buildings that covers each 2D level map, as well as continuous 3D pose tracking, and views the multirobot inspection system as a group of homogeneous mobile robots. The last part of the book is dedicated to multirobot map creation and the development of path planning solutions, which allow the robots’ homogeneous behavior and configuration to be used to develop a multirobot system without theoretical limitations on the number of robots used.

Robotic Navigation And Mapping With Radar

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Author : Martin Adams
language : en
Publisher: Artech House
Release Date : 2012

Robotic Navigation And Mapping With Radar written by Martin Adams and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Technology & Engineering categories.

A practical treatment of short-range radar processing for reliable object detection at ground level.

Mapping Planning And Exploration With Pose Slam

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Author : Rafael Valencia
language : en
Publisher: Springer
Release Date : 2017-06-21

Mapping Planning And Exploration With Pose Slam written by Rafael Valencia and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-21 with Technology & Engineering categories.

This monograph introduces a unifying framework for mapping, planning and exploration with mobile robots considering uncertainty, linking such problems with a common SLAM approach, adopting Pose SLAM as the basic state estimation machinery. Pose SLAM is the variant of SLAM where only the robot trajectory is estimated and where landmarks are used to produce relative motion measurements between robot poses. With regards to extending the original Pose SLAM formulation, this monograph covers the study of such measurements when they are obtained with stereo cameras, develops the appropriate noise propagation models for such case, extends the Pose SLAM formulation to SE(3), introduces information-theoretic loop closure tests, and presents a technique to compute traversability maps from the 3D volumetric maps obtained with Pose SLAM. A relevant topic covered in this monograph is the introduction of a novel path planning approach that exploits the modeled uncertainties in Pose SLAM to search for the path in the pose graph that allows the robot to navigate to a given goal with the least probability of becoming lost. Another relevant topic is the introduction of an autonomous exploration method that selects the appropriate actions to drive the robot so as to maximize coverage, while minimizing localization and map uncertainties. This monograph is appropriate for readers interested in an information-theoretic unified perspective to the SLAM, path planning and exploration problems, and is a reference book for people who work in mobile robotics research in general.

Robot Localization And Map Building

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