Random Finite Sets For Robot Mapping Slam
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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.
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.
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.
Focusing on autonomous robotic applications, this cutting-edge resource offer you a practical treatment of short-range radar processing for reliable object detection at the ground level. This unique book demonstrates probabilistic radar models and detection algorithms specifically for robotic land vehicles. It examines grid based robotic mapping with radar based on measurement likelihood estimation. You find detailed coverage of simultaneous localization and Map Building (SLAM) – an area referred to as the "Holy Grail" of autonomous robotic research. The book derives an extended Kalman Filter SLAM algorithm which exploits the penetrating ability of radar. This algorithm allows for the observation of visually occluded objects, as well as the usual directly observed objects, which contributes to a robot's position and the map state update. Moreover, you discover how the Random Finite Set (RFS) provides a more appropriate approach for representing radar based maps than conventional frameworks.
Advances In Swarm Intelligence Part Ii
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Author : Ying Tan
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-05-26
Advances In Swarm Intelligence Part Ii written by Ying Tan 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 2011-05-26 with Computers categories.
The two-volume set (LNCS 6728 and 6729) constitutes the refereed proceedings of the International Conference on Swarm Intelligence, ICSI 2011, held in Chongqing, China, in June 2011. The 143 revised full papers presented were carefully reviewed and selected from 298 submissions. The papers are organized in topical sections on theoretical analysis of swarm intelligence algorithms, particle swarm optimization, applications of pso algorithms, ant colony optimization algorithms, bee colony algorithms, novel swarm-based optimization algorithms, artificial immune system, differential evolution, neural networks, genetic algorithms, evolutionary computation, fuzzy methods, and hybrid algorithms - for part I. Topics addressed in part II are such as multi-objective optimization algorithms, multi-robot, swarm-robot, and multi-agent systems, data mining methods, machine learning methods, feature selection algorithms, pattern recognition methods, intelligent control, other optimization algorithms and applications, data fusion and swarm intelligence, as well as fish school search - foundations and applications.
Robocup 2016 Robot World Cup Xx
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Author : Sven Behnke
language : en
Publisher: Springer
Release Date : 2017-11-01
Robocup 2016 Robot World Cup Xx written by Sven Behnke and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-01 with Computers categories.
This book includes the post-conference proceedings of the 20th RoboCup International Symposium, held in Leipzig, Germany, in July 2016. In addition to the 38 contributions to the symposium, selected from 63 submissions, the book also contains 15 champion papers of teams winning individual leagues of the RoboCup 2016 competition, the Amazon Picking Challenge, and the Harting Open Source Award. The papers present current research in the fields of robotics and artificial intelligence with a special focus to robot hardware and software, environment perception, action planning and control, robot learning, multi-robot systems, and human-robot interaction.
Collaborative Perception Localization And Mapping For Autonomous Systems
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Author : Yufeng Yue
language : en
Publisher: Springer Nature
Release Date : 2020-11-13
Collaborative Perception Localization And Mapping For Autonomous Systems written by Yufeng Yue and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-13 with Technology & Engineering categories.
This book presents the breakthrough and cutting-edge progress for collaborative perception and mapping by proposing a novel framework of multimodal perception-relative localization–collaborative mapping for collaborative robot systems. The organization of the book allows the readers to analyze, model and design collaborative perception technology for autonomous robots. It presents the basic foundation in the field of collaborative robot systems and the fundamental theory and technical guidelines for collaborative perception and mapping. The book significantly promotes the development of autonomous systems from individual intelligence to collaborative intelligence by providing extensive simulations and real experiments results in the different chapters. This book caters to engineers, graduate students and researchers in the fields of autonomous systems, robotics, computer vision and collaborative perception.
Robotics Research
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Author : Tamim Asfour
language : en
Publisher: Springer Nature
Release Date : 2022-02-17
Robotics Research written by Tamim Asfour and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-17 with Technology & Engineering categories.
This book contains the papers that were presented at the 17th International Symposium of Robotics Research (ISRR). The ISRR promotes the development and dissemination of groundbreaking research and technological innovation in robotics useful to society by providing a lively, intimate, forward-looking forum for discussion and debate about the current status and future trends of robotics with great emphasis on its potential role to benefit humankind. The symposium contributions contained in this book report on a variety of new robotics research results covering a broad spectrum organized into the categories: design, control; grasping and manipulation, planning, robot vision, and robot learning.
Autonomous Robotics
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2021-08-17
Autonomous Robotics 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 2021-08-17 with Technology & Engineering categories.
What Is Autonomous Robotics An autonomous robot is a robot that conducts behaviors or performs tasks autonomously (without external influence). Autonomous robotics is commonly regarded as a branch of artificial intelligence, robotics, and information engineering. How You Will Benefit - Answering the public top questions about autonomous robotics. - Real world examples for the usage of robots in many industries and corporations. - 17 appendices to explain, briefly, 266 emerging technology in each industry to have 360-degree full understanding of robotics' technologies. - Insights, and validations about the following topics: Chapter 1: Autonomous Robot Chapter 2: Behavior-Based Robotics Chapter 3: Robot Learning Chapter 4: Cloud Robotics Chapter 5: Ubiquitous Robot Chapter 6: Swarm Robotics Chapter 7: Fog robotics Chapter 8: Robotic Sensing Chapter 9: Robotic sensors Chapter 10: Robot navigation Chapter 11: Simultaneous localization and mapping Chapter 12: Teleoperation Chapter 13: Telerobotics Chapter 14: Bio-inspired robotics Chapter 15: Biorobotics Chapter 16: Cognitive robotics Chapter 17: Developmental robotics Chapter 18: Domestic robot Chapter 19: Evolutionary robotics Chapter 20: Humanoid robot Chapter 21: Microbotics Chapter 22: Robotics Chapter 23: Industrial robot Chapter 24: PatrolBot Chapter 25: Amazon Scout Chapter 26: RoboBee Chapter 27: Robomow Chapter 28: Wake-up robot problem Chapter 29: Kidnapped robot problem Chapter 30: Three Laws of Robotics Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of robot.
Structure From Motion Using The Extended Kalman Filter
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Author : Javier Civera
language : en
Publisher: Springer
Release Date : 2011-11-09
Structure From Motion Using The Extended Kalman Filter written by Javier Civera and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-09 with Technology & Engineering categories.
The fully automated estimation of the 6 degrees of freedom camera motion and the imaged 3D scenario using as the only input the pictures taken by the camera has been a long term aim in the computer vision community. The associated line of research has been known as Structure from Motion (SfM). An intense research effort during the latest decades has produced spectacular advances; the topic has reached a consistent state of maturity and most of its aspects are well known nowadays. 3D vision has immediate applications in many and diverse fields like robotics, videogames and augmented reality; and technological transfer is starting to be a reality. This book describes one of the first systems for sparse point-based 3D reconstruction and egomotion estimation from an image sequence; able to run in real-time at video frame rate and assuming quite weak prior knowledge about camera calibration, motion or scene. Its chapters unify the current perspectives of the robotics and computer vision communities on the 3D vision topic: As usual in robotics sensing, the explicit estimation and propagation of the uncertainty hold a central role in the sequential video processing and is shown to boost the efficiency and performance of the 3D estimation. On the other hand, some of the most relevant topics discussed in SfM by the computer vision scientists are addressed under this probabilistic filtering scheme; namely projective models, spurious rejection, model selection and self-calibration.
Self Organizing Robots
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Author : Satoshi Murata
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-01-22
Self Organizing Robots written by Satoshi Murata 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 2012-01-22 with Technology & Engineering categories.
It is man’s ongoing hope that a machine could somehow adapt to its environment by reorganizing itself. This is what the notion of self-organizing robots is based on. The theme of this book is to examine the feasibility of creating such robots within the limitations of current mechanical engineering. The topics comprise the following aspects of such a pursuit: the philosophy of design of self-organizing mechanical systems; self-organization in biological systems; the history of self-organizing mechanical systems; a case study of a self-assembling/self-repairing system as an autonomous distributed system; a self-organizing robot that can create its own shape and robotic motion; implementation and instrumentation of self-organizing robots; and the future of self-organizing robots. All topics are illustrated with many up-to-date examples, including those from the authors’ own work. The book does not require advanced knowledge of mathematics to be understood, and will be of great benefit to students in the robotics discipline, including in the areas of mechanics, control, electronics, and computer science. It is also an important source for researchers who wish to investigate the field of robotics or who have an interest in the application of self-organizing phenomena.