Robotic Navigation and Mapping with Radar

Robotic Navigation and Mapping with Radar
Author :
Publisher : Artech House
Total Pages : 378
Release :
ISBN-10 : 9781608074822
ISBN-13 : 160807482X
Rating : 4/5 (22 Downloads)

Synopsis Robotic Navigation and Mapping with Radar by : Martin Adams

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

Active Sensors for Local Planning in Mobile Robotics

Active Sensors for Local Planning in Mobile Robotics
Author :
Publisher : World Scientific
Total Pages : 337
Release :
ISBN-10 : 9789810246815
ISBN-13 : 9810246811
Rating : 4/5 (15 Downloads)

Synopsis Active Sensors for Local Planning in Mobile Robotics by : Penelope Probert Smith

This book describes recent work on active sensors for mobile robots. An active sensor interacts with its surroundings to supply data on demand for a particular function, gathering and abstracting information according to need rather than acting as a generic data gatherer. Details of the physical operation are hidden.The book deals mainly with active range sensors, which provide rapid information for local planning, describing extraction of two-dimensional features such as lines, corners and cylinders to reconstruct a plan of a building. It is structured according to the physical principles of the sensors, since to a large extent these determine the function of the sensors and the methods of processing. Recent work using sonar, optoelectronic sensors and radar is described. Sections on vision and on sensor management develop the idea of software adaptation for efficient operation in a changing environment.

Mobile Robots

Mobile Robots
Author :
Publisher : John Wiley & Sons
Total Pages : 353
Release :
ISBN-10 : 9781119534785
ISBN-13 : 111953478X
Rating : 4/5 (85 Downloads)

Synopsis Mobile Robots by : Gerald Cook

Presents the normal kinematic and dynamic equations for robots, including mobile robots, with coordinate transformations and various control strategies This fully updated edition examines the use of mobile robots for sensing objects of interest, and focus primarily on control, navigation, and remote sensing. It also includes an entirely new section on modeling and control of autonomous underwater vehicles (AUVs), which exhibits unique complex three-dimensional dynamics. Mobile Robots: Navigation, Control and Sensing, Surface Robots and AUVs, Second Edition starts with a chapter on kinematic models for mobile robots. It then offers a detailed chapter on robot control, examining several different configurations of mobile robots. Following sections look at robot attitude and navigation. The application of Kalman Filtering is covered. Readers are also provided with a section on remote sensing and sensors. Other chapters discuss: target tracking, including multiple targets with multiple sensors; obstacle mapping and its application to robot navigation; operating a robotic manipulator; and remote sensing via UAVs. The last two sections deal with the dynamics modeling of AUVs and control of AUVs. In addition, this text: Includes two new chapters dealing with control of underwater vehicles Covers control schemes including linearization and use of linear control design methods, Lyapunov stability theory, and more Addresses the problem of ground registration of detected objects of interest given their pixel coordinates in the sensor frame Analyzes geo-registration errors as a function of sensor precision and sensor pointing uncertainty Mobile Robots: Navigation, Control and Sensing, Surface Robots and AUVs is intended for use as a textbook for a graduate course of the same title and can also serve as a reference book for practicing engineers working in related areas.

Random Finite Sets for Robot Mapping & SLAM

Random Finite Sets for Robot Mapping & SLAM
Author :
Publisher : Springer Science & Business Media
Total Pages : 161
Release :
ISBN-10 : 9783642213892
ISBN-13 : 3642213898
Rating : 4/5 (92 Downloads)

Synopsis Random Finite Sets for Robot Mapping & SLAM by : John Stephen Mullane

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.

State Estimation for Robotics

State Estimation for Robotics
Author :
Publisher : Cambridge University Press
Total Pages : 381
Release :
ISBN-10 : 9781107159396
ISBN-13 : 1107159393
Rating : 4/5 (96 Downloads)

Synopsis State Estimation for Robotics by : Timothy D. Barfoot

A modern look at state estimation, targeted at students and practitioners of robotics, with emphasis on three-dimensional applications.

Introduction to AI Robotics, second edition

Introduction to AI Robotics, second edition
Author :
Publisher : MIT Press
Total Pages : 649
Release :
ISBN-10 : 9780262038485
ISBN-13 : 026203848X
Rating : 4/5 (85 Downloads)

Synopsis Introduction to AI Robotics, second edition by : Robin R. Murphy

A comprehensive survey of artificial intelligence algorithms and programming organization for robot systems, combining theoretical rigor and practical applications. This textbook offers a comprehensive survey of artificial intelligence (AI) algorithms and programming organization for robot systems. Readers who master the topics covered will be able to design and evaluate an artificially intelligent robot for applications involving sensing, acting, planning, and learning. A background in AI is not required; the book introduces key AI topics from all AI subdisciplines throughout the book and explains how they contribute to autonomous capabilities. This second edition is a major expansion and reorganization of the first edition, reflecting the dramatic advances made in AI over the past fifteen years. An introductory overview provides a framework for thinking about AI for robotics, distinguishing between the fundamentally different design paradigms of automation and autonomy. The book then discusses the reactive functionality of sensing and acting in AI robotics; introduces the deliberative functions most often associated with intelligence and the capability of autonomous initiative; surveys multi-robot systems and (in a new chapter) human-robot interaction; and offers a “metaview” of how to design and evaluate autonomous systems and the ethical considerations in doing so. New material covers locomotion, simultaneous localization and mapping, human-robot interaction, machine learning, and ethics. Each chapter includes exercises, and many chapters provide case studies. Endnotes point to additional reading, highlight advanced topics, and offer robot trivia.

Wireless Power Transmission for Sustainable Electronics

Wireless Power Transmission for Sustainable Electronics
Author :
Publisher : John Wiley & Sons
Total Pages : 432
Release :
ISBN-10 : 9781119578543
ISBN-13 : 111957854X
Rating : 4/5 (43 Downloads)

Synopsis Wireless Power Transmission for Sustainable Electronics by : Nuno Borges Carvalho

Provides a collection of works produced by COST Action IC1301 with the goal of achieving significant advances in the field of wireless power transmission This book constitutes together information from COST Action IC1301, a group of academic and industry experts seeking to align research efforts in the field of wireless power transmission (WPT). It begins with a discussion of backscatter as a solution for Internet of Things (IoT) devices and goes on to describe ambient backscattering sensors that use FM broadcasting for low cost and low power wireless applications. The book also explores localization of passive RFID tags and augmented tags using nonlinearities of RFID chips. It concludes with a review of methods of electromagnetic characterization of textile materials for the development of wearable antennas. Wireless Power Transmission for Sustainable Electronics: COST WiPE - IC1301 covers textile-supported wireless energy transfer, and reviews methods for the electromagnetic characterization of textile materials for the development of wearable antennas. It also looks at: backscatter RFID sensor systems for remote health monitoring; simultaneous localization (of robots and objects) and mapping (SLAM); autonomous system of wireless power distribution for static and moving nodes of wireless sensor networks; and more. Presents techniques for smart beam-forming for "on demand" wireless power transmission (WPT) Discusses RF and microwave energy harvesting for space applications Describes miniaturized RFID transponders for object identification and sensing Wireless Power Transmission for Sustainable Electronics: COST WiPE - IC1301 is an excellent book for both graduate students and industry engineers involved in wireless communications and power transfer, and sustainable materials for those fields.

Engineering Autonomous Vehicles and Robots

Engineering Autonomous Vehicles and Robots
Author :
Publisher : John Wiley & Sons
Total Pages : 214
Release :
ISBN-10 : 9781119570561
ISBN-13 : 1119570565
Rating : 4/5 (61 Downloads)

Synopsis Engineering Autonomous Vehicles and Robots by : Shaoshan Liu

Offers a step-by-step guide to building autonomous vehicles and robots, with source code and accompanying videos The first book of its kind on the detailed steps for creating an autonomous vehicle or robot, this book provides an overview of the technology and introduction of the key elements involved in developing autonomous vehicles, and offers an excellent introduction to the basics for someone new to the topic of autonomous vehicles and the innovative, modular-based engineering approach called DragonFly. Engineering Autonomous Vehicles and Robots: The DragonFly Modular-based Approach covers everything that technical professionals need to know about: CAN bus, chassis, sonars, radars, GNSS, computer vision, localization, perception, motion planning, and more. Particularly, it covers Computer Vision for active perception and localization, as well as mapping and motion planning. The book offers several case studies on the building of an autonomous passenger pod, bus, and vending robot. It features a large amount of supplementary material, including the standard protocol and sample codes for chassis, sonar, and radar. GPSD protocol/NMEA protocol and GPS deployment methods are also provided. Most importantly, readers will learn the philosophy behind the DragonFly modular-based design approach, which empowers readers to design and build their own autonomous vehicles and robots with flexibility and affordability. Offers progressive guidance on building autonomous vehicles and robots Provides detailed steps and codes to create an autonomous machine, at affordable cost, and with a modular approach Written by one of the pioneers in the field building autonomous vehicles Includes case studies, source code, and state-of-the art research results Accompanied by a website with supplementary material, including sample code for chassis/sonar/radar; GPS deployment methods; Vision Calibration methods Engineering Autonomous Vehicles and Robots is an excellent book for students, researchers, and practitioners in the field of autonomous vehicles and robots.

Introduction to Autonomous Mobile Robots, second edition

Introduction to Autonomous Mobile Robots, second edition
Author :
Publisher : MIT Press
Total Pages : 473
Release :
ISBN-10 : 9780262015356
ISBN-13 : 0262015358
Rating : 4/5 (56 Downloads)

Synopsis Introduction to Autonomous Mobile Robots, second edition by : Roland Siegwart

The second edition of a comprehensive introduction to all aspects of mobile robotics, from algorithms to mechanisms. Mobile robots range from the Mars Pathfinder mission's teleoperated Sojourner to the cleaning robots in the Paris Metro. This text offers students and other interested readers an introduction to the fundamentals of mobile robotics, spanning the mechanical, motor, sensory, perceptual, and cognitive layers the field comprises. The text focuses on mobility itself, offering an overview of the mechanisms that allow a mobile robot to move through a real world environment to perform its tasks, including locomotion, sensing, localization, and motion planning. It synthesizes material from such fields as kinematics, control theory, signal analysis, computer vision, information theory, artificial intelligence, and probability theory. The book presents the techniques and technology that enable mobility in a series of interacting modules. Each chapter treats a different aspect of mobility, as the book moves from low-level to high-level details. It covers all aspects of mobile robotics, including software and hardware design considerations, related technologies, and algorithmic techniques. This second edition has been revised and updated throughout, with 130 pages of new material on such topics as locomotion, perception, localization, and planning and navigation. Problem sets have been added at the end of each chapter. Bringing together all aspects of mobile robotics into one volume, Introduction to Autonomous Mobile Robots can serve as a textbook or a working tool for beginning practitioners. Curriculum developed by Dr. Robert King, Colorado School of Mines, and Dr. James Conrad, University of North Carolina-Charlotte, to accompany the National Instruments LabVIEW Robotics Starter Kit, are available. Included are 13 (6 by Dr. King and 7 by Dr. Conrad) laboratory exercises for using the LabVIEW Robotics Starter Kit to teach mobile robotics concepts.

Particle Filters for Random Set Models

Particle Filters for Random Set Models
Author :
Publisher : Springer Science & Business Media
Total Pages : 184
Release :
ISBN-10 : 9781461463160
ISBN-13 : 1461463165
Rating : 4/5 (60 Downloads)

Synopsis Particle Filters for Random Set Models by : Branko Ristic

This book discusses state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and nonlinear or stochastic filtering. The class of solutions presented in this book is based on the Monte Carlo statistical method. Although the resulting algorithms, known as particle filters, have been around for more than a decade, the recent theoretical developments of sequential Bayesian estimation in the framework of random set theory have provided new opportunities which are not widely known and are covered in this book. This book is ideal for graduate students, researchers, scientists and engineers interested in Bayesian estimation.