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An Analysis of Mobile Robot Navigation Algorithms in Unknown Environments

An Analysis of Mobile Robot Navigation Algorithms in Unknown Environments
Author: James Sze Ng
Publisher:
Total Pages: 203
Release: 2010
Genre: Autonomous robots
ISBN:

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This thesis investigates robot navigation algorithms in unknown 2 dimensional environments with the aim of improving performance. The algorithms which perform such navigation are called Bug Algorithms [1,30,62]. Existing algorithms are implemented on a robot simulation system called EyeSim [7] and their performances are measured and analyzed. Similarities and differences in the Bug Family are explored particularly in relation to the methods used to guarantee termination. Seven methods used to guarantee termination in the existing literature are noted and form the basis of the new Bug algorithms: OneBug, MultiBug, LeaveBug, Bug1+ and SensorBug. A new method is created which restricts the leave points to vertices of convex obstacles. SensorBug is a new algorithm designed to use range sensors and with three performance criteria in mind: data gathering frequency, amount of scanning and path length. SensorBug reduces the frequency at which data about the visible environment is gathered and the amount of scanning for each time data is gathered. It is shown that despite the reductions, correct termination is still guaranteed for any environment. Curv1 [19], a robot navigation algorithm, was developed to guide a robot to the target in an unknown environment with a single non-self intersecting guide track. Via an intermediate algorithm Curv2, Curv1 is expanded into a new algorithm, Curv3. Curv3 is capable of pairing multiple start and targets and coping with self-intersecting track.


Principles of Robot Motion

Principles of Robot Motion
Author: Howie Choset
Publisher: MIT Press
Total Pages: 642
Release: 2005-05-20
Genre: Technology & Engineering
ISBN: 9780262033275

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A text that makes the mathematical underpinnings of robot motion accessible and relates low-level details of implementation to high-level algorithmic concepts. Robot motion planning has become a major focus of robotics. Research findings can be applied not only to robotics but to planning routes on circuit boards, directing digital actors in computer graphics, robot-assisted surgery and medicine, and in novel areas such as drug design and protein folding. This text reflects the great advances that have taken place in the last ten years, including sensor-based planning, probabalistic planning, localization and mapping, and motion planning for dynamic and nonholonomic systems. Its presentation makes the mathematical underpinnings of robot motion accessible to students of computer science and engineering, rleating low-level implementation details to high-level algorithmic concepts.


Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment

Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment
Author: Xiaochun Wang
Publisher: Springer
Total Pages: 328
Release: 2019-08-12
Genre: Technology & Engineering
ISBN: 981139217X

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This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition. The respective chapters highlight the latest developments in vision-based machine perception and machine learning research for localization applications, and cover such topics as: image-segmentation-based visual perceptual grouping for the efficient identification of objects composing unknown environments; classification-based rapid object recognition for the semantic analysis of natural scenes in unknown environments; the present understanding of the Prefrontal Cortex working memory mechanism and its biological processes for human-like localization; and the application of this present understanding to improve mobile robot localization. The book also features a perspective on bridging the gap between feature representations and decision-making using reinforcement learning, laying the groundwork for future advances in mobile robot navigation research.


Safe Robot Navigation Among Moving and Steady Obstacles

Safe Robot Navigation Among Moving and Steady Obstacles
Author: Andrey V. Savkin
Publisher: Butterworth-Heinemann
Total Pages: 360
Release: 2015-09-25
Genre: Technology & Engineering
ISBN: 0128037571

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Safe Robot Navigation Among Moving and Steady Obstacles is the first book to focus on reactive navigation algorithms in unknown dynamic environments with moving and steady obstacles. The first three chapters provide introduction and background on sliding mode control theory, sensor models, and vehicle kinematics. Chapter 4 deals with the problem of optimal navigation in the presence of obstacles. Chapter 5 discusses the problem of reactively navigating. In Chapter 6, border patrolling algorithms are applied to a more general problem of reactively navigating. A method for guidance of a Dubins-like mobile robot is presented in Chapter 7. Chapter 8 introduces and studies a simple biologically-inspired strategy for navigation a Dubins-car. Chapter 9 deals with a hard scenario where the environment of operation is cluttered with obstacles that may undergo arbitrary motions, including rotations and deformations. Chapter 10 presents a novel reactive algorithm for collision free navigation of a nonholonomic robot in unknown complex dynamic environments with moving obstacles. Chapter 11 introduces and examines a novel purely reactive algorithm to navigate a planar mobile robot in densely cluttered environments with unpredictably moving and deforming obstacles. Chapter 12 considers a multiple robot scenario. For the Control and Automation Engineer, this book offers accessible and precise development of important mathematical models and results. All the presented results have mathematically rigorous proofs. On the other hand, the Engineer in Industry can benefit by the experiments with real robots such as Pioneer robots, autonomous wheelchairs and autonomous mobile hospital. First book on collision free reactive robot navigation in unknown dynamic environments Bridges the gap between mathematical model and practical algorithms Presents implementable and computationally efficient algorithms of robot navigation Includes mathematically rigorous proofs of their convergence A detailed review of existing reactive navigation algorithm for obstacle avoidance Describes fundamentals of sliding mode control


Vision Based Autonomous Robot Navigation

Vision Based Autonomous Robot Navigation
Author: Amitava Chatterjee
Publisher: Springer
Total Pages: 235
Release: 2012-10-13
Genre: Technology & Engineering
ISBN: 3642339654

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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.


Autonomous Mobile Robots in Unknown Outdoor Environments

Autonomous Mobile Robots in Unknown Outdoor Environments
Author: Xiaorui Zhu
Publisher: CRC Press
Total Pages: 266
Release: 2017-12-15
Genre: Technology & Engineering
ISBN: 1498740561

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Mobile robots have been increasingly applied in many different scenarios, such as space exploration and search and rescue, where the robots are required to travel over uneven terrain while outdoors. This book provides a new framework and the related algorithms for designing autonomous mobile robotic systems in such unknown outdoor environments.


Rapid Automation: Concepts, Methodologies, Tools, and Applications

Rapid Automation: Concepts, Methodologies, Tools, and Applications
Author: Management Association, Information Resources
Publisher: IGI Global
Total Pages: 1566
Release: 2019-03-01
Genre: Technology & Engineering
ISBN: 1522580611

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Through expanded intelligence, the use of robotics has fundamentally transformed the business industry. Providing successful techniques in robotic design allows for increased autonomous mobility, which leads to a greater productivity and production level. Rapid Automation: Concepts, Methodologies, Tools, and Applications provides innovative insights into the state-of-the-art technologies in the design and development of robotics and their real-world applications in business processes. Highlighting a range of topics such as workflow automation tools, human-computer interaction, and swarm robotics, this multi-volume book is ideally designed for computer engineers, business managers, robotic developers, business and IT professionals, academicians, and researchers.


Mobile Robot Navigation with Intelligent Infrared Image Interpretation

Mobile Robot Navigation with Intelligent Infrared Image Interpretation
Author: William L. Fehlman
Publisher: Springer
Total Pages: 0
Release: 2014-11-29
Genre: Technology & Engineering
ISBN: 9781447156949

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Mobile robots require the ability to make decisions such as "go through the hedges" or "go around the brick wall." Mobile Robot Navigation with Intelligent Infrared Image Interpretation describes in detail an alternative to GPS navigation: a physics-based adaptive Bayesian pattern classification model that uses a passive thermal infrared imaging system to automatically characterize non-heat generating objects in unstructured outdoor environments for mobile robots. The resulting classification model complements an autonomous robot’s situational awareness by providing the ability to classify smaller structures commonly found in the immediate operational environment.