Robotic Mapping
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3d Robotic Mapping
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Author : Andreas Nüchter
language : en
Publisher: Springer
Release Date : 2008-12-18
3d Robotic Mapping written by Andreas Nüchter and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-18 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
Robotic Mapping And Exploration
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Author : Cyrill Stachniss
language : en
Publisher: Springer
Release Date : 2009-05-06
Robotic Mapping And Exploration written by Cyrill Stachniss and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-06 with Technology & Engineering categories.
"Robotic Mapping and Exploration" is an important contribution in the area of simultaneous localization and mapping (SLAM) for autonomous robots, which has been receiving a great deal of attention by the research community in the latest few years. The contents are focused on the autonomous mapping learning problem. Solutions include uncertainty-driven exploration, active loop closing, coordination of multiple robots, learning and incorporating background knowledge, and dealing with dynamic environments. Results are accompanied by a rich set of experiments, revealing a promising outlook toward the application to a wide range of mobile robots and field settings, such as search and rescue, transportation tasks, or automated vacuum cleaning.
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.
Robotic Mapping
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2024-12-28
Robotic Mapping written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-28 with Technology & Engineering categories.
Unlock the future of robotics with "Robotic Mapping," a definitive guide that explores the critical aspects of robot navigation, mapping, and control. This book is designed for professionals, students, and enthusiasts who are passionate about robotics science. Whether you are a researcher in mobile robotics or a hobbyist eager to understand cuttingedge technologies, this book provides invaluable insights. It is more than just a resource—it's an investment in your robotic knowledge. Chapters Brief Overview: 1: Robotic mapping: Explore the foundational concepts behind how robots create and interpret maps of their environment. 2: Autonomous robot: Learn how robots operate independently, making decisions without human intervention. 3: Simultaneous localization and mapping: Delve into the key algorithms that enable robots to map their surroundings and determine their location simultaneously. 4: Swarm robotics: Understand how multiple robots can work together to achieve complex tasks through collaborative behavior. 5: Navigation mesh: Discover the structure that allows robots to move efficiently through virtual environments. 6: Denning Mobile Robot Company: Study the role of industry leaders in shaping the future of mobile robotics. 7: Gregory Dudek: Learn from the expert whose work has profoundly influenced the field of robotics and autonomous systems. 8: Mobile robot: Examine the mechanics and design behind mobile robots that navigate realworld environments. 9: Motion planning: Investigate the strategies used by robots to move smoothly and effectively in dynamic environments. 10: Positioning system: Understand how robots determine their position and orientation in a given space. 11: Obstacle avoidance: Explore the technologies that allow robots to detect and navigate around obstacles safely. 12: Indoor positioning system: Delve into the systems that enable accurate robot navigation within indoor environments. 13: Robot navigation: Learn how robots use sensor data and algorithms to navigate through unknown or changing environments. 14: Occupancy grid mapping: Understand the powerful technique for representing environments that robots use for navigation. 15: WiFi positioning system: Study how WiFi signals are used for localization and navigation in robotics. 16: IISc Guidance, Control and Decision Systems Laboratory: Gain insights from one of the leading laboratories in robotics research and development. 17: Mobile Robot Programming Toolkit: Explore the software tools used to program and control mobile robots effectively. 18: Anyangle path planning: Learn about algorithms that allow robots to navigate paths without strict geometric constraints. 19: Autonomous aircraft: Examine the principles behind the navigation and control of unmanned aerial vehicles (UAVs). 20: AirCobot: Study the emerging field of airborne robots that collaborate with groundbased systems for complex operations. 21: Intrinsic localization: Understand the methods robots use to localize themselves using only their internal sensors, without external inputs. This book is an indispensable resource for those who wish to stay ahead in the rapidly evolving field of robotics. With its comprehensive coverage and expert insights, "Robotic Mapping" provides the knowledge and tools to navigate the intricate landscape of robotic systems. Elevate your expertise today and invest in a future where robots and their mapping technologies are at the forefront of innovation.
Random Finite Sets For Robot Mapping Slam
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Author : John Stephen Mullane
language : en
Publisher: Springer
Release Date : 2011-05-19
Random Finite Sets For Robot Mapping Slam written by John Stephen Mullane and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-19 with Technology & Engineering categories.
The monograph written by John Mullane, Ba-Ngu Vo, Martin Adams and Ba-Tuong Vo is devoted to the field of autonomous robot systems, which have been receiving a great deal of attention by the research community in the latest few years. The contents are focused on the problem of representing the environment and its uncertainty in terms of feature based maps. Random Finite Sets are adopted as the fundamental tool to represent a map, and a general framework is proposed for feature management, data association and state estimation. The approaches are tested in a number of experiments on both ground based and marine based facilities.
Robust And Efficient Robotic Mapping
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Author : Edwin Brock Olson
language : en
Publisher:
Release Date : 2008
Robust And Efficient Robotic Mapping written by Edwin Brock Olson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
Mobile robots are dependent upon a model of the environment for many of their basic functions. Locally accurate maps are critical to collision avoidance, while large-scale maps (accurate both metrically and topologically) are necessary for efficient route planning. Solutions to these problems have immediate and important applications to autonomous vehicles, precision surveying, and domestic robots. Building accurate maps can be cast as an optimization problem: find the map that is most probable given the set of observations of the environment. However, the problem rapidly becomes difficult when dealing with large maps or large numbers of observations. Sensor noise and non-linearities make the problem even more difficult especially when using inexpensive (and therefore preferable) sensors. This thesis describes an optimization algorithm that can rapidly estimate the maximum likelihood map given a set of observations. The algorithm, which iteratively reduces map error by considering a single observation at a time, scales well to large environments with many observations. The approach is particularly robust to noise and non-linearities, quickly escaping local minima that trap current methods. Both batch and online versions of the algorithm are described. In order to build a map, however, a robot must first be able to recognize places that it has previously seen. Limitations in sensor processing algorithms, coupled with environmental ambiguity, make this difficult. Incorrect place recognitions can rapidly lead to divergence of the map. This thesis describes a place recognition algorithm that can robustly handle ambiguous data. We evaluate these algorithms on a number of challenging datasets and provide quantitative comparisons to other state-of-the-art methods, illustrating the advantages of our methods.
Robot Navigation From Nature
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Author : Michael John Milford
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-02-11
Robot Navigation From Nature written by Michael John Milford 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 2008-02-11 with Technology & Engineering categories.
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.
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.
Robotic Mapping In The Real World
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Author : Soeren Schwerteger
language : en
Publisher:
Release Date : 2012
Robotic Mapping In The Real World written by Soeren Schwerteger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Mapping is an important task for mobile robots. The assessment of the quality of maps in a simple, efficient and automated way is not trivial and an ongoing research topic. In this thesis, evaluation methods for the maps produced by robotic systems are developed. The algorithm has to analyze and evaluate the maps in a systematic, repeatable and reproducible way. The problem is approached systematically: First the different terms and concepts are introduced and the state of the art in map evaluation is presented. Then a special type of mapping using video data is introduced and a path-based evaluation of the performance of this mapping approach is made. Afterwards a number of algorithms to process those maps are presented. Then the first novel map evaluation method, the Fiducial algorithm, is developed. In this place-based method, artificial markers that are distributed in the environment are detected in the map. The errors of the positions of those markers with respect to the known ground truth positions are used to calculate a number of attributes of the map. The main contribution of this thesis is the second novel map evaluation algorithm, that uses a graph that is representing the environment topologically. This structure-based approach abstracts from all other information in the map and just uses the topological information about which areas are directly connected to asses the quality of the map. Different ways to compare the similarity of two vertices from two graphs are presented and compared. This is needed to match two graphs to each other - the graph from the map to be evaluated and the graph of a known ground truth map. Using this match, a number of map attributes can be computed, including the interesting the map brokenness. Experiments made on many maps from different environments are then performed for both map metrics.
Robotics And Cognitive Approaches To Spatial Mapping
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Author : Margaret E. Jefferies
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-01-10
Robotics And Cognitive Approaches To Spatial Mapping written by Margaret E. Jefferies 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 2008-01-10 with Technology & Engineering categories.
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.