5 edition of Intelligent Mobile Robot Navigation (Springer Tracts in Advanced Robotics) found in the catalog.
April 29, 2005
Written in English
|The Physical Object|
|Number of Pages||204|
Reading material for the course is accessible via Blackboard and on the Internet, much of it compiled in the Robotics and Intelligent Systems Virtual Reference Book and in Lecture Slides (copies of the slides can be accessed below). Seven computer-based ("Virtual Laboratory") assignments are given during the term, and a final term paper. The optical encoder for mobile robots is supplanted by an intelligent Grey-RSS navigation system (IGRNS) with a RFID system embedded with a RSS (Received Signal Strength) location estimator and a Grey predictor for robot rotation angle prediction. The RFID system identifies the target with active RFID : Albert W.-L. Yao, H. T. Liao.
Wheeled robot. Tracks. Mobile robot navigation. There are many types of mobile robot navigation: Manual remote or tele-op. A manually teleoperated robot is totally under control of a driver with a joystick or other control device. The device may be plugged directly into the robot, may be a wireless joystick, or may be an accessory to a wireless. KUKA develops intelligent, mobile units that work together perfectly and find their destination autonomously. We have developed the KUKA omniMove drive technology for precisely these units. It is based on the Mecanum wheel and consists of two rim discs and nine free-running rollers, which are mounted at a 45 degree angle.
Mobile robot navigation is a very diverse area, and a useful comparison of different approaches is difficult because of the lack of commonly accepted test standards and procedures. The research platforms used differ greatly and so do the key assumptions used in different approaches. Book Description. From AI to Robotics: Mobile, Social, and Sentient Robots is a journey into the world of agent-based robotics and it covers a number of interesting topics, both in the theory and practice of the discipline. The book traces the earliest ideas for autonomous machines to the mythical lore of ancient Greece and ends the last chapter with a debate on a prophecy set in .
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Intelligent Mobile Robot Navigation builds upon the application of fuzzy logic to the area of intelligent control of mobile robots. Reactive, planned, and teleoperated techniques are considered, leading to the development of novel fuzzy control systems for perception and navigation of nonholonomic autonomous : Federico Cuesta, Aníbal Ollero.
Intelligent Mobile Robot Navigation builds upon the application of fuzzy logic to the area of intelligent control of mobile robots. Reactive, planned and teleoperated techniques are considered, leading to the development of novel fuzzy control systems for perception and navigation of nonholonomic autonomous vehicles.
Intelligent Mobile Robot Navigation builds upon the application of fuzzy logic to the area of intelligent control of mobile robots. Reactive, planned, and teleoperated techniques are considered, leading to the development of novel fuzzy control systems for perception and navigation of nonholonomic autonomous vehicles.
""Intelligent Mobile Robot Navigation" builds upon the application of fuzzy logic to the area of intelligent control of mobile robots. Reactive, planned and teleoperated techniques are considered, leading to the development of novel fuzzy control systems for perception and navigation of nonholonomic autonomous vehicles.
mobile robot navigation. A quick review of the salient systems provides a picture the current state of the scientific art. Find-Path Planning a path based on a model is a problem that is fundamental to intelligent control of robot arms as well as mobile robots. Lozano-Pkrez has developed a formal version of the general path planning by: An Intelligent Mobile Robot Navigation Technique Using RFID Technology Article in IEEE Transactions on Instrumentation and Measurement 57(9).
This chapter proposes a sensor-based mobile robot navigation that utilizes a multicriterion decision-making method in uncertain environments. To acquire information about the environment around a mobile robot, ultrasonic sensors mounted on the front of Intelligent Mobile Robot Navigation book mobile robot are used.
GUEAIEB AND MIAH: INTELLIGENT MOBILE ROBOT NAVIGATION TECHNIQUE USING RFID TECHNOLOGY the robot to communicate and determine the robot’s relative position with respect to the tags. The sampled information is continuously fed to a fuzzy logic engine to tune the robot’s orientation and to guide the robot to navigate as close as.
The present article focuses on the study of the intelligent navigation techniques, which are capable of navigating a mobile robot autonomously in static as well as dynamic environments.
Discover. Mobile Robot Navigation with Intelligent Infrared Image Interpretation will be of interest to researchers and developers of advanced mobile robots in academic, industrial and military sectors.
Advanced undergraduates studying robot sensor interpretation, pattern classification or infrared physics will also appreciate this book. 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. Introduction to Mobile Robot Control provides a complete and concise study of modeling, control, and navigation methods for wheeled non-holonomic and omnidirectional mobile robots and manipulators.
The book begins with a study of mobile robot drives and corresponding kinematic and dynamic models, and discusses the sensors used in mobile robotics. Kosaka, A., Kak, A.C.: Fast vision-guided mobile robot navigation using model-based reasoning and prediction of uncertainties.
Computer Vision, Graphics, and Image Processing – Image Understanding 56(3), – () zbMATH Google ScholarCited by: 2. This book includes a selection of research work in the mobile robotics area, where several interesting topics are presented.
In this way we find a review of multi-agents, different techniques applied to the navigation systems, artificial intelligence algorithms, which include deep learning applications, systems where a Kalman filter estimator is extended for visual odometry, and Author: Efren Gorrostieta Hurtado.
In this book we focused on these two areas of mobile robotics, Perception and Navigation. This book gives a wide overview over different navigation techniques describing both navigation techniques dealing with local and control aspects of navigation as well es those handling global navigation aspects of a single robot and even for a group of.
In this book we focused on these two areas of mobile robotics, Perception and Navigation. This book gives a wide overview over different navigation techniques describing both navigation techniques dealing with local and control aspects of navigation as well es those handling global navigation aspects of a single robot and even for a group of Cited by: 5.
An important feature of this book is the particular combination of topics included. These are (1) control, (2) navigation and (3) remote sensing, all with application to mobile robots. Much of the material is readily extended to any type ground vehicle. In the controls area, robot steering is the issue.
Both linear and nonlinear models are treated.4/4(1). This book will therefore cover the area of mobile robot navigation, taking some inspiration from the most successful navigators on earth: living beings (chapter 5). Five case studies highlight the mechanisms used in successful robot navigation systems: self-organization, emergent functionality and autonomous mapping of the environment "as the.
An Intelligent Mobile Robot Navigation Technique Using RFID Technology A PROJECT REPORT Submitted by NDESHWAR() DHARAN() P () In partial fulfillment of the requirements for the award of the degree of BACHELOR OF ENGINEERING in ELECTRONICS AND COMMUNICATION ENGINEERING MONTH &.
Robotics and Intelligent Systems A Virtual Reference Book Robert F. Stengel Princeton University Princeton, NJ Septem The Robotics and Intelligent Systems Virtual Reference Book is an assemblage of bookmarks for web pages that contain educational material.
The Table of Contents summarizes the Bookmarks Menu and provides links to each chapter. navigation by an intelligent mobile robot in a previously learned floorplan. The techniques described are part of an effort to develop a low-cost intelligent mobile platform (IMP).
By the term “intelligent” we mean that the system is designed to plan and execute tasks based on a model of the current state of the.Intelligent Control of Robotic Systems - CRC Press Book This book illustrates basic principles, along with the development of the advanced algorithms, to realize smart robotic systems.
It speaks to strategies by which a robot (manipulators, mobile robot, quadrotor) can learn its own kinematics and dynamics from data.Mobile robots range from the teleoperated Sojourner on the Mars Pathfinder mission to cleaning robots in the Paris Metro.
Introduction to Autonomous Mobile Robots offers students and other interested readers an overview of the technology of mobility—the mechanisms that allow a .