Автор: Frank C. Park, Kevin M. Lynch Название: Modern Robotics: Mechanics, Planning and Control ISBN: 1107156300 ISBN-13(EAN): 9781107156302 Издательство: Cambridge Academ Рейтинг: Цена: 10294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the go-to textbook for learning about the mechanics, planning, and control of robots in a unified way. Modern Robotics emphasises both the latest geometric techniques and algorithmic aspects of these three subjects, with accompanying software, video lectures, and numerous exercises.
Автор: Anis Koubaa; Hachemi Bennaceur; Imen Chaari; Sahar Название: Robot Path Planning and Cooperation ISBN: 3319770403 ISBN-13(EAN): 9783319770406 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents extensive research on two main problems in robotics: the path planning problem and the multi-robot task allocation problem. It is the first book to provide a comprehensive solution for using these techniques in large-scale environments containing randomly scattered obstacles. The research conducted resulted in tangible results both in theory and in practice. For path planning, new algorithms for large-scale problems are devised and implemented and integrated into the Robot Operating System (ROS). The book also discusses the parallelism advantage of cloud computing techniques to solve the path planning problem, and, for multi-robot task allocation, it addresses the task assignment problem and the multiple traveling salesman problem for mobile robots applications. In addition, four new algorithms have been devised to investigate the cooperation issues with extensive simulations and comparative performance evaluation. The algorithms are implemented and simulated in MATLAB and Webots.
Описание: The dominant theme of this book is to introduce the different path planning methods and present some of the most appropriate ones for robotic routing; methods that are capable of running on a variety of robots and are resistant to disturbances; being real-time, being autonomous, and the ability to identify high-risk areas and risk management are the other features that will be mentioned in the introduction of the methods. The introduction of the profound significance of the robots and delineation of the navigation and routing theme is provided in the first chapter of the book. The second chapter is concerned with the subject of routing in unknown environments. In the first part of this chapter, the family of bug algorithms including are described. In the following, several conventional methods are submitted. The last part of this chapter is dedicated to the introduction of two recently developed routing methods. In Chapter 3, routing is reviewed in the known environment in which the robot either utilizes the created maps by extraneous sources or makes use of the sensor in order to prepare the maps from the local environment. The robot path planning relying on the robot vision sensors and applicable computing hardware are concentrated in the fourth chapter. The first part of this chapter deals with routing methods supported mapping capabilities. The second part manages the routing dependent on the vision sensor, typically known as the best sensor, within the routing subject. The movement of two-dimensional robots with two or three degrees of freedom is analyzed within the third part of this chapter. In Chapter 5, the performance of a few of the foremost important routing methods initiating from the second to fourth chapters is conferred regarding the implementation in various environments. The first part of this chapter is engaged in the implementation of the algorithms Bug1, Bug2, and Distbug on the pioneering robot. In the second part, a theoretical technique is planned to boost the robots performance in line with obstacle collision avoidance. This method, underlying the tangential escape, seeks to proceed with the robot through various obstacles with curved corners. In the third and fourth parts of this chapter, path planning in different environments is preceded in the absence and the presence of danger space. Accordingly, four approaches, named artificial fuzzy potential field, linguistic technique, Markov decision making processes, and fuzzy Markov decision making have been proposed in two following parts and enforced on the Nao humanoid robot.
Описание: This book presents four typical motion planning schemes based on optimization techniques, including the fundamental RMP scheme and its extensions. These schemes are unified as quadratic programs, which are solved by neural networks or numerical algorithms.
Описание: This book presents four typical motion planning schemes based on optimization techniques, including the fundamental RMP scheme and its extensions. These schemes are unified as quadratic programs, which are solved by neural networks or numerical algorithms.
Автор: Jean-Claude Latombe Название: Robot Motion Planning ISBN: 079239206X ISBN-13(EAN): 9780792392064 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: One of the ultimate goals in Robotics is to create autonomous robots. 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.
Автор: Hamed Fazlollahtabar (Author), Mohammad Saidi-Mehr Название: Autonomous Guided Vehicles: Methods and Models for Optimal Path Planning ISBN: 3319368230 ISBN-13(EAN): 9783319368238 Издательство: Springer Рейтинг: Цена: 13059.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book discusses and provides solutions to important issues concerning the use of AGVs in the manufacturing industry, including material flow optimization with AGVs, programming manufacturing systems equipped with AGVs, reliability models, the reliability of AGVs, routing under uncertainty, and risks involved in AGV-based transportation.
Автор: Paul Keng-Chieh Wang Название: Visibility-based Optimal Path and Motion Planning ISBN: 3319356828 ISBN-13(EAN): 9783319356822 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This monograph deals with various visibility-based path and motion planning problems motivated by real-world applications such as exploration and mapping planetary surfaces, environmental surveillance using stationary or mobile robots, and imaging of global air/pollutant circulation.
Автор: Alexander Reiter Название: Optimal Path and Trajectory Planning for Serial Robots ISBN: 3658285931 ISBN-13(EAN): 9783658285937 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Alexander Reiter describes optimal path and trajectory planning for serial robots in general, and rigorously treats the challenging application of path tracking for kinematically redundant manipulators therein in particular.
Автор: Elham Semsar-Kazerooni; Khashayar Khorasani Название: Team Cooperation in a Network of Multi-Vehicle Unmanned Systems ISBN: 1489987193 ISBN-13(EAN): 9781489987198 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a synthesis-based methodology for team cooperation. It introduces a consensus-protocol minimized performance index and offers comparisons for use of proper indices in measuring team performance.
Описание: This book analyses intention recognition, an important ability that helps agents predict others` behavior, in its artificial intelligence and evolutionary computational modeling aspects. It also proposes a novel intention recognition method.
Автор: Pshikhopov, Viacheslav Название: Path Planning for Vehicles Operating in Uncertain 2D environments ISBN: 0128123052 ISBN-13(EAN): 9780128123058 Издательство: Elsevier Science Рейтинг: Цена: 14654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Path Planning for Vehicles Operating in Uncertain 2D-environments presents a survey that includes several path planning methods developed using fuzzy logic, grapho-analytical search, neural networks, and neural-like structures, procedures of genetic search, and unstable motion modes.
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