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Intelligent Robotic Planning Systems

Author: P C-Y Sheu

Publisher: World Scientific

Published: 1993-07-21

Total Pages: 280

ISBN-13: 981450601X

This volume focusses on the problem of planning in the context of robotics. Unlike most books on robotics planning which are either too abstract or too specific, this one extends the techniques developed for generic planning problems with robotics-specific considerations so that the task of planning can be discussed in a more uniform way. It also includes the latest results in reconfigurable (mobile) robot planning, multiple robot planning, plan recovery, and planning in uncertain environments. This volume is probably the very first book in the market that provides a theoretical foundation for planning techniques and their applications. It also bridges the gap that has been existing for a long time between computer scientists and application engineers. It will be of interest to senior and graduate students in engineering and computer science, AI researchers and professionals. Contents: IntroductionWorld ModelingAn Object-Oriented Robot Programming LanguageClassical Robotic Task Planning SystemsConstructive Robotic Task PlanningRobot Path PlanningTask Planning for Coordinated Multiple RobotsMotion Planning for Coordinated Multiple RobotsRobot Path Planning in Unknown EnvironmentsConclusionsBibliographyIndex Readership: Computer scientists and engineers. keywords:“… a very good and fairly complete treatment of the subject … very fluently readable …”Spyros Tzafestas Journal of Intelligent and Robotic Systems, 1996

Intelligent Robotic Planning Systems

Author: Phillip C.-Y. Sheu

Publisher: World Scientific Series In Robotics And Intelligent Systems

Published: 1993

Total Pages: 265

ISBN-13: 9789810207588

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Discusses generic planning problems with robotics-specific considerations. Includes the recent results in reconfigurable robot planning, multiple robot planning, plan recovery, and planning in uncertain environments.

Intelligent Robotic Systems

Author: Witold Jacak

Publisher: Springer Science & Business Media

Published: 2005-12-27

Total Pages: 313

ISBN-13: 0306469677

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Here is a comprehensive presentation of methodology for the design and synthesis of an intelligent complex robotic system, connecting formal tools from discrete system theory, artificial intelligence, neural network, and fuzzy logic. The necessary methods for solving real time action planning, coordination and control problems are described. A notable chapter presents a new approach to intelligent robotic agent control acting in a realworld environment based on a lifelong learning approach combining cognitive and reactive capabilities. Another key feature is the homogeneous description of all solutions and methods based on system theory formalism.

Intelligent Robotic Planning Systems

Author: Phillip C.-Y. Sheu

Publisher: World Scientific

Published: 1993

Total Pages: 286

ISBN-13: 9789810207595

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Intelligent Planning for Mobile Robotics: Algorithmic Approaches

Author: Tiwari, Ritu

Publisher: IGI Global

Published: 2012-09-30

Total Pages: 320

ISBN-13: 1466620757

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Robotics is an ever-expanding field and intelligent planning continues to play a major role. Given that the intention of mobile robots is to carry out tasks independent from human aid, robot intelligence is needed to make and plan out decisions based on various sensors. Planning is the fundamental activity that implements this intelligence into the mobile robots to complete such tasks. Understanding problems, challenges, and solutions to path planning and how it fits in is important to the realm of robotics. Intelligent Planning for Mobile Robotics: Algorithmic Approaches presents content coverage on the basics of artificial intelligence, search problems, and soft computing approaches. This collection of research provides insight on both robotics and basic algorithms and could serve as a reference book for courses related to robotics, special topics in AI, planning, applied soft computing, applied AI, and applied evolutionary computing. It is an ideal choice for research students, scholars, and professors alike.

Intelligent Robotic Systems: Theory, Design and Applications

Author: Kimon P. Valavanis

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 265

ISBN-13: 1461535689

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Since the late 1960s, there has been a revolution in robots and industrial automation, from the design of robots with no computing or sensorycapabilities (first-generation), to the design of robots with limited computational power and feedback capabilities (second-generation), and the design of intelligent robots (third-generation), which possess diverse sensing and decision making capabilities. The development of the theory of intelligent machines has been developed in parallel to the advances in robot design. This theory is the natural outcome of research and development in classical control (1950s), adaptive and learning control (1960s), self-organizing control (1970s) and intelligent control systems (1980s). The theory of intelligent machines involves utilization and integration of concepts and ideas from the diverse disciplines of science, engineering and mathematics, and fields like artificial intelligence, system theory and operations research. The main focus and motivation is to bridge the gap between diverse disciplines involved and bring under a common cover several generic methodologies pertaining to what has been defined as machine intelligence. Intelligent robotic systems are a specific application of intelligent machines. They are complex computer controlled robotic systems equipped with a diverse set of visual and non visual sensors and possess decision making and problem solving capabilities within their domain of operation. Their modeling and control is accomplished via analytical and heuristic methodologies and techniques pertaining to generalized system theory and artificial intelligence. Intelligent Robotic Systems: Theory, Design and Applications, presents and justifies the fundamental concepts and ideas associated with the modeling and analysis of intelligent robotic systems. Appropriate for researchers and engineers in the general area of robotics and automation, Intelligent Robotic Systems is both a solid reference as well as a text for a graduate level course in intelligent robotics/machines.

Robot Motion Planning

Author: Jean-Claude Latombe

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 668

ISBN-13: 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.

Design and Control of Intelligent Robotic Systems

Author: Dikai Liu

Publisher: Springer Science & Business Media

Published: 2009-03-05

Total Pages: 491

ISBN-13: 3540899324

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With the increasing applications of intelligent robotic systems in various ?elds, the - sign and control of these systems have increasingly attracted interest from researchers. This edited book entitled “Design and Control of Intelligent Robotic Systems” in the book series of “Studies in Computational Intelligence” is a collection of some advanced research on design and control of intelligent robots. The works presented range in scope from design methodologies to robot development. Various design approaches and al- rithms, such as evolutionary computation, neural networks, fuzzy logic, learning, etc. are included. We also would like to mention that most studies reported in this book have been implemented in physical systems. An overview on the applications of computational intelligence in bio-inspired robotics is given in Chapter 1 by M. Begum and F. Karray, with highlights of the recent progress in bio-inspired robotics research and a focus on the usage of computational intelligence tools to design human-like cognitive abilities in the robotic systems. In Chapter 2, Lisa L. Grant and Ganesh K. Venayagamoorthy present greedy search, particle swarm optimization and fuzzy logic based strategies for navigating a swarm of robots for target search in a hazardous environment, with potential applications in high-risk tasks such as disaster recovery and hazardous material detection.

Robot Path Planning and Cooperation

Author: Anis Koubaa

Publisher: Springer

Published: 2018-04-05

Total Pages: 190

ISBN-13: 331977042X

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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.

Progress in Robotics and Intelligent Systems

Author: George Winston Zobrist

Publisher: Intellect Books

Published: 1994

Total Pages: 320

ISBN-13:

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This is the first text of a series that focuses on developments in robotics and intelligent systems, and provides insight, guidance, and specific techniques for those concerned with the design and implementation of robotics and intelligent system applications.