Robotic Mapping
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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 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.
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
Robotic Mapping And Exploration
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Author : Cyrill Stachniss
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-04-27
Robotic Mapping And Exploration written by Cyrill Stachniss 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 2009-04-27 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.
Random Finite Sets For Robot Mapping Slam
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Author : John Stephen Mullane
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-05-19
Random Finite Sets For Robot Mapping Slam written by John Stephen Mullane 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 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.
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.
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 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.
Probabilistic Mapping Of Spatial Motion Patterns For Mobile Robots
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Author : Tomasz Piotr Kucner
language : en
Publisher: Springer Nature
Release Date : 2020-03-28
Probabilistic Mapping Of Spatial Motion Patterns For Mobile Robots written by Tomasz Piotr Kucner and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-28 with Technology & Engineering categories.
This book describes how robots can make sense of motion in their surroundings and use the patterns they observe to blend in better in dynamic environments shared with humans.The world around us is constantly changing. Nonetheless, we can find our way and aren’t overwhelmed by all the buzz, since motion often follows discernible patterns. Just like humans, robots need to understand the patterns behind the dynamics in their surroundings to be able to efficiently operate e.g. in a busy airport. Yet robotic mapping has traditionally been based on the static world assumption, which disregards motion altogether. In this book, the authors describe how robots can instead explicitly learn patterns of dynamic change from observations, store those patterns in Maps of Dynamics (MoDs), and use MoDs to plan less intrusive, safer and more efficient paths. The authors discuss the pros and cons of recently introduced MoDs and approaches to MoD-informed motion planning, and provide an outlook on future work in this emerging, fascinating field.
Adaptive And Natural Computing Algorithms
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Author : Bernadete Ribeiro
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-03-08
Adaptive And Natural Computing Algorithms written by Bernadete Ribeiro 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 2005-03-08 with Computers categories.
The papers in this volume present theoretical insights and report practical applications both for neural networks, genetic algorithms and evolutionary computation. In the field of natural computing, swarm optimization, bioinformatics and computational biology contributions are no less compelling. A wide selection of contributions report applications of neural networks to process engineering, robotics and control. Contributions also abound in the field of evolutionary computation particularly in combinatorial and optimization problems. Many papers are dedicated to machine learning and heuristics, hybrid intelligent systems and soft computing applications. Some papers are devoted to quantum computation. In addition, kernel based algorithms, able to solve tasks other than classification, represent a revolution in pattern recognition bridging existing gaps. Further topics are intelligent signal processing and computer vision.