Download or read book Sensor Fusion for Autonomous Mobile Robot Navigation written by Alfredo Chávez Plascencia and published by . This book was released on 2007 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Autonomous Mobile Robots written by Frank L. Lewis and published by CRC Press. This book was released on 2018-10-03 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: It has long been the goal of engineers to develop tools that enhance our ability to do work, increase our quality of life, or perform tasks that are either beyond our ability, too hazardous, or too tedious to be left to human efforts. Autonomous mobile robots are the culmination of decades of research and development, and their potential is seemingly unlimited. Roadmap to the Future Serving as the first comprehensive reference on this interdisciplinary technology, Autonomous Mobile Robots: Sensing, Control, Decision Making, and Applications authoritatively addresses the theoretical, technical, and practical aspects of the field. The book examines in detail the key components that form an autonomous mobile robot, from sensors and sensor fusion to modeling and control, map building and path planning, and decision making and autonomy, and to the final integration of these components for diversified applications. Trusted Guidance A duo of accomplished experts leads a team of renowned international researchers and professionals who provide detailed technical reviews and the latest solutions to a variety of important problems. They share hard-won insight into the practical implementation and integration issues involved in developing autonomous and open robotic systems, along with in-depth examples, current and future applications, and extensive illustrations. For anyone involved in researching, designing, or deploying autonomous robotic systems, Autonomous Mobile Robots is the perfect resource.

Download or read book Mobile Robot Localization and Map Building written by Jose A. Castellanos and published by Springer. This book was released on 2000-03-31 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Sensor Fusion and Decentralized Control in Robotic Systems written by and published by . This book was released on 2001 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Sensor Fusion Techniques in Navigation Application for Mobile Robot written by Surachai Panich and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Sensor Fusion Techniques in Navigation Application for Mobile Robot.

Download or read book Designing Autonomous Mobile Robots written by John M. Holland and published by Elsevier. This book was released on 2004-01-24 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designing Autonomous Mobile Robots introduces the reader to the fundamental concepts of this complex field. The author addresses all the pertinent topics of the electronic hardware and software of mobile robot design, with particular emphasis on the more difficult problems of control, navigation, and sensor interfacing. Covering topics such as advanced sensor fusion, control systems for a wide array of application sensors and instrumentation, and fuzzy logic applications, this volume is essential reading for engineers undertaking robotics projects as well as undergraduate and graduate students studying robotic engineering, artificial intelligence, and cognitive science. Its state-of-the-art treatment of core concepts in mobile robotics helps and challenges readers in exploring new avenues in an exciting field. Authored by a well-known pioneer of mobile robotics Learn how to approach the design of and complex control system with confidence

Download or read book Sensor Fusion Based Position Estimation for Mobile Robots written by Levente Tamás and published by LAP Lambert Academic Publishing. This book was released on 2012 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of sensors for the mobile robots is an essential part in the context of autonomous navigation. The data processing from various sensors individually contribute to the environment perception for the mobile robot. Once the heterogeneous data is available, the information gain can be further more extended by fusing the data from different sensors. This can be achieved with various estimation techniques, like Kalman filtering. The fused data is especially useful for the position estimation, localization or mapping. This book covers both the theoretical and the practical details of the perception, localization and mapping based on sensor fusion for autonomous mobile robots.

Download or read book Multisensor Data Fusion written by David Hall and published by CRC Press. This book was released on 2001-06-20 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emerging technology of multisensor data fusion has a wide range of applications, both in Department of Defense (DoD) areas and in the civilian arena. The techniques of multisensor data fusion draw from an equally broad range of disciplines, including artificial intelligence, pattern recognition, and statistical estimation. With the rapid evolut

Download or read book Build Autonomous Mobile Robot from Scratch using ROS written by Rajesh Subramanian and published by Apress. This book was released on 2023-10-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Start from scratch and build a variety of features for autonomous mobile robots both in simulation and hardware. This book will show you how to simulate an autonomous mobile robot using ROS and then develop its hardware implementation. You'll start by gaining an understanding of the basic theoretical concepts underlying the development of autonomous robots, including history, mathematics, electronics, mechanical aspects, 3D modelling, 3D printing, Linux, and programming. In subsequent chapters, you will learn how to describe kinematics, simulate and visualize the robot, how to interface Arduino with ROS, tele-operate the robot, perform mapping, autonomous navigation, add additional sensors, sensor fusion, laser scan matching, web interface, and more. Not only will you learn theoretical aspects, you’ll also review the hardware realization of mobile robots. Projects start with a very basic two-wheeled mobile robot and progress to complex features such as mapping, navigation, sensor fusion, autodocking, and web interface. Upon completing this book, you’ll have incorporated important robot algorithms including SLAM, Path Finding, Localization, and Kalman Filters – and you will be ready to start designing and building your own autonomous robots. What You Will Learn Design and build your customized physical robot with autonomous navigation capability Create a map of your house using the robot’s lidar scanner Command the robot to go to any accessible location on the map Interact with the robot using a mobile app, joystick, keyboard, push-button, or remote computer Monitor robot updates via LCD, a mobile app, sound, and status LEDs Automate delivery of small payloads and return to home base Utilize autodocking to home base for battery charging Leverage sensor fusion to improve accuracy Interface with the robot via the Web to monitor and control it remotely Who This Book Is For Complete beginners who want to build customized robots from scratch. No experience is expected, although basic programming knowledge could be handy.

Download or read book Where am I Sensors and Methods for Autonomous Mobile Robot Positioning written by L. Feng and published by . This book was released on with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Sensor Fusion Approaches for Positioning Navigation and Mapping How Autonomous Systems Navigate in the Real World written by M. Atia and published by Wiley-Blackwell. This book was released on 2024-11-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Autonomous Mobile Robots Perception mapping and navigation written by S. Sitharama Iyengar and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1991 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book An Architecture for Sensor Fusion in a Mobile Robot written by Steven A. Shafer and published by . This book was released on 1986 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper describes sensor fusion in the context of an autonomous mobile robot, the NAVLAB system, based on a commercial truck with computer controls and studded with cameras and other sensors. This paper describes the software architecture of the NAVLAB, consisting of two parts; a 'whiteboard' system called CODGER that is similar to a blackboard but supports parallelism in the knowledge source modules, and an organized collection of perceptual and navigational modules tied together by the CODGER database/communication system. The NAVLAB vehicle is a commercial truck modified by adding sensors, electronic controls, and on-board computers and power generators. It will be completely self-contained, requiring neither a cable tethering it to an off-board mainframe computer, nor an electronic telecommunications tether. Telecommunications gear is present for data recording and tele-operation, but is not required for computer control of the vehicle. The control systems of the vehicle include computer control of a hydraulic drive/braking system computer control of the steering wheel, and processors to monitor and control engine functions. A global system clock and a processor maintain a primitive vehicle position estimate based on dead reckoning. An inertial navigation system is also on-board. Keywords; CODGER (Communications Database with Geometric Reasoning).

Download or read book Sensor Fusion and Decentralized Control in Autonomous Robotic Systems written by Paul S. Schenker and published by SPIE-International Society for Optical Engineering. This book was released on 1997 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Fuzzy Logic Techniques for Autonomous Vehicle Navigation written by Dimiter Driankov and published by Physica. This book was released on 2013-03-09 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past decade a critical mass of work that uses fuzzy logic for autonomous vehicle navigation has been reported. Unfortunately, reports of this work are scattered among conference, workshop, and journal publications that belong to different research communities (fuzzy logic, robotics, artificial intelligence, intelligent control) and it is therefore not easily accessible either to the new comer or to the specialist. As a result, researchers in this area may end up reinventing things while being unaware of important existing work. We believe that research and applications based on fuzzy logic in the field of autonomous vehicle navigation have now reached a sufficient level of maturity, and that it should be suitably reported to the largest possible group of interested practitioners, researches, and students. On these grounds, we have endeavored to collect some of the most representative pieces of work in one volume to be used as a reference. Our aim was to provide a volume which is more than "yet another random collection of papers," and gives the reader some added value with respect to the individual papers. In order to achieve this goal we have aimed at: • Selecting contributions which are representative of a wide range of prob lems and solutions and which have been validated on real robots; and • Setting the individual contributions in a clear framework, that identifies the main problems of autonomous robotics for which solutions based on fuzzy logic have been proposed.

Download or read book Sensor Modelling Design and Data Processing for Autonomous Navigation written by Martin David Adams and published by World Scientific. This book was released on 1999 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This invaluable book presents an unbiased framework for modelling and using sensors to aid mobile robot navigation. It addresses the problem of accurate and reliable sensing in confined environments and makes a detailed analysis of the design and construction of a low cost optical range finder. This is followed by a quantitative model for determining the sources and propagation of noise within the sensor. The physics behind the causes of erroneous data is also used to derive a model for detecting and labelling such data as false. In addition, the author's data-processing algorithms are applied to the problem of environmental feature extraction. This forms the basis of a solution to the problem of mobile robot localisation. The book develops a relationship between the kinematics of a mobile robot during the execution of successive manoeuvres, and the sensed features. Results which update a mobile vehicle's position using features from 2D and 3D scans are presented.

Download or read book Vision Based Autonomous Robot Navigation written by Amitava Chatterjee and published by Springer. This book was released on 2012-10-13 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.