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STUDY ON COOPERATIVE COLLISION-FREE LOCAL PATH PLANNING FOR WHEELED MOBILE ROBOTS

Author :
Publisher :
Page : pages
File Size : 10,9 MB
Release : 2021
Category :
ISBN :

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Abstract : Path planning forms the fundamental requirement to facilitate autonomous navigation in Autonomous Vehicles (AVs). Ensuring a cost-efficient, safe, and collision-free path has been the primary objective of most research concerned with path planning. Path planning is accomplished at two levels: global and local. While global path planning can provide reasonable obstacle avoidance in static environments, local path planning or reactive control is better suited to dynamic and fast-changing environments. Integration of the two techniques is also employed to account for either's shortcomings and, hence, enhance the collision avoidance capability and optimal trajectory generation. However, in complex scenarios like constricted spaces or close encounters between agents, even the integrated approaches fail, resulting in a collision or a deadlock. Hence, it necessitates employing cooperative collision avoidance techniques to address these issues and ensure successful, collision-free navigation for AVs. This research's primary objective is to explore a potential solution to enable a cooperative collision avoidance mechanism for autonomous navigation of wheeled mobile robots in a constricted multi-robot environment. This work presents an overview of the current path planners and discusses their limitations. This work studies and explores the capabilities of employing the classic Elastic Band Methods(EBM) path planning technique and Model Predictive Control(MPC) trajectory optimization technique in conjunction to explore the possible cooperative collision avoidance capabilities. Integrating the two and extending the approach to 3D environments forms the basis for our future work.

Principles of Robot Motion

Author : Howie Choset
Publisher : MIT Press
Page : 642 pages
File Size : 24,25 MB
Release : 2005-05-20
Category : 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.

Safe Robot Navigation Among Moving and Steady Obstacles

Author : Andrey V. Savkin
Publisher : Butterworth-Heinemann
Page : 360 pages
File Size : 17,74 MB
Release : 2015-09-25
Category : 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

Motion Planning

Author : Xj Jing
Publisher : BoD – Books on Demand
Page : 610 pages
File Size : 17,86 MB
Release : 2008-06-01
Category : Technology & Engineering
ISBN : 953761901X

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In this book, new results or developments from different research backgrounds and application fields are put together to provide a wide and useful viewpoint on these headed research problems mentioned above, focused on the motion planning problem of mobile ro-bots. These results cover a large range of the problems that are frequently encountered in the motion planning of mobile robots both in theoretical methods and practical applications including obstacle avoidance methods, navigation and localization techniques, environmental modelling or map building methods, and vision signal processing etc. Different methods such as potential fields, reactive behaviours, neural-fuzzy based methods, motion control methods and so on are studied. Through this book and its references, the reader will definitely be able to get a thorough overview on the current research results for this specific topic in robotics. The book is intended for the readers who are interested and active in the field of robotics and especially for those who want to study and develop their own methods in motion/path planning or control for an intelligent robotic system.

Autonomous Mobile Robots and Multi-Robot Systems

Author : Eugene Kagan
Publisher : John Wiley & Sons
Page : 340 pages
File Size : 46,32 MB
Release : 2019-12-16
Category : Technology & Engineering
ISBN : 1119212863

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Offers a theoretical and practical guide to the communication and navigation of autonomous mobile robots and multi-robot systems This book covers the methods and algorithms for the navigation, motion planning, and control of mobile robots acting individually and in groups. It addresses methods of positioning in global and local coordinates systems, off-line and on-line path-planning, sensing and sensors fusion, algorithms of obstacle avoidance, swarming techniques and cooperative behavior. The book includes ready-to-use algorithms, numerical examples and simulations, which can be directly implemented in both simple and advanced mobile robots, and is accompanied by a website hosting codes, videos, and PowerPoint slides Autonomous Mobile Robots and Multi-Robot Systems: Motion-Planning, Communication and Swarming consists of four main parts. The first looks at the models and algorithms of navigation and motion planning in global coordinates systems with complete information about the robot’s location and velocity. The second part considers the motion of the robots in the potential field, which is defined by the environmental states of the robot's expectations and knowledge. The robot's motion in the unknown environments and the corresponding tasks of environment mapping using sensed information is covered in the third part. The fourth part deals with the multi-robot systems and swarm dynamics in two and three dimensions. Provides a self-contained, theoretical guide to understanding mobile robot control and navigation Features implementable algorithms, numerical examples, and simulations Includes coverage of models of motion in global and local coordinates systems with and without direct communication between the robots Supplemented by a companion website offering codes, videos, and PowerPoint slides Autonomous Mobile Robots and Multi-Robot Systems: Motion-Planning, Communication and Swarming is an excellent tool for researchers, lecturers, senior undergraduate and graduate students, and engineers dealing with mobile robots and related issues.

Advanced Path Planning for Mobile Entities

Author : Rastislav Róka
Publisher : BoD – Books on Demand
Page : 200 pages
File Size : 22,8 MB
Release : 2018-09-26
Category : Science
ISBN : 1789235782

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The book Advanced Path Planning for Mobile Entities provides a platform for practicing researchers, academics, PhD students, and other scientists to design, analyze, evaluate, process, and implement diversiform issues of path planning, including algorithms for multipath and mobile planning and path planning for mobile robots. The nine chapters of the book demonstrate capabilities of advanced path planning for mobile entities to solve scientific and engineering problems with varied degree of complexity.

Mobile Robots Navigation

Author : Alejandra Barrera
Publisher : IntechOpen
Page : 682 pages
File Size : 30,35 MB
Release : 2010-03-01
Category : Technology & Engineering
ISBN : 9789533070766

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Mobile robots navigation includes different interrelated activities: (i) perception, as obtaining and interpreting sensory information; (ii) exploration, as the strategy that guides the robot to select the next direction to go; (iii) mapping, involving the construction of a spatial representation by using the sensory information perceived; (iv) localization, as the strategy to estimate the robot position within the spatial map; (v) path planning, as the strategy to find a path towards a goal location being optimal or not; and (vi) path execution, where motor actions are determined and adapted to environmental changes. The book addresses those activities by integrating results from the research work of several authors all over the world. Research cases are documented in 32 chapters organized within 7 categories next described.

Robot Motion Planning

Author : Jean-Claude Latombe
Publisher : Springer Science & Business Media
Page : 668 pages
File Size : 35,34 MB
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 1461540224

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One of the ultimate goals in Robotics is to create autonomous robots. Such robots will accept high-level descriptions of tasks and will execute them without further human intervention. The input descriptions will specify what the user wants done rather than how to do it. The robots will be any kind of versatile mechanical device equipped with actuators and sensors under the control of a computing system. Making progress toward autonomous robots is of major practical inter est in a wide variety of application domains including manufacturing, construction, waste management, space exploration, undersea work, as sistance for the disabled, and medical surgery. It is also of great technical interest, especially for Computer Science, because it raises challenging and rich computational issues from which new concepts of broad useful ness are likely to emerge. Developing the technologies necessary for autonomous robots is a formidable undertaking with deep interweaved ramifications in auto mated reasoning, perception and control. It raises many important prob lems. One of them - motion planning - is the central theme of this book. It can be loosely stated as follows: How can a robot decide what motions to perform in order to achieve goal arrangements of physical objects? This capability is eminently necessary since, by definition, a robot accomplishes tasks by moving in the real world. The minimum one would expect from an autonomous robot is the ability to plan its x Preface own motions.