Nature Inspired Mobile Robotics

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Nature-Inspired Mobile Robotics

Author : Kenneth J Waldron,Mohammad O Tokhi,Gurvinder S Virk
Publisher : World Scientific
Page : 884 pages
File Size : 41,8 Mb
Release : 2013-06-26
Category : Technology & Engineering
ISBN : 9789814525541

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Nature-Inspired Mobile Robotics by Kenneth J Waldron,Mohammad O Tokhi,Gurvinder S Virk Pdf

The proceedings provide state-of-the-art scientific and engineering research findings and developments in the area of mobile robotics and assistive technologies. The proceedings collected together peer reviewed articles presented at the CLAWAR 2013 conference. It contains a strong showing of articles on legged locomotion with numbers of legs from two onwards. There is also a good collection of articles on systems that walls climbing, poles balancing, and other more complex structures following the traditional of CLAWAR themes. In addition, the proceedings also cover the subject of robot-human interaction, which focus on a more “human” way of communicating with humanoid robots. As for human assistive devices, proceedings also cover exoskeletal and prosthetic devices, robots for personal and nursing cares to address the issues of ageing population in our society. Finally, the issue of the deployment of robots in society, it social and ethically consideration are also addressed in the proceedings. Contents:Plenary PresentationsAssistive RoboticsAutonomous RobotsBiologically-Inspired Systems and SolutionsHMI, Inspection and LearningInnovative Design of CLAWARLocomotionManipulation and GrippingModelling and Simulation of CLAWARPlanning and ControlPositioning, Localization and PerceptionSensing and Sensor FusionService Robot Standards and Standardization Readership: Systems and control engineers, electrical engineers, mechanical engineers in academic, research and industrial settings; engineers and practitioners in the public services sectors in health care, manufacturing, supply and delivery services. Keywords:Assistive Robotics;Autonomous Robots;Biologically Inspired Robotics;CLAWAR;Climbing and Walking Robots;Design of CLAWAR;Hybrid Locomotion;Legged Locomotion;Mobile Robots;Modeling and Simulation;Planning and Control;Robot Standardization;Service Robotics;Wheeled Locomotion

Nature-Inspired Design of Hybrid Intelligent Systems

Author : Patricia Melin,Oscar Castillo,Janusz Kacprzyk
Publisher : Springer
Page : 838 pages
File Size : 40,9 Mb
Release : 2016-12-08
Category : Technology & Engineering
ISBN : 9783319470542

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Nature-Inspired Design of Hybrid Intelligent Systems by Patricia Melin,Oscar Castillo,Janusz Kacprzyk Pdf

This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems. The second part focuses on neural network theory, and explores the applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The book’s third part presents enhancements to meta-heuristics based on fuzzy logic techniques and describes new nature-inspired optimization algorithms that employ fuzzy dynamic adaptation of parameters, while the fourth part presents diverse applications of nature-inspired optimization algorithms. In turn, the fifth part investigates applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. The sixth part examines new optimization algorithms and their applications. Lastly, the seventh part is dedicated to the design and application of different hybrid intelligent systems.

Nature Inspired Problem-Solving Methods in Knowledge Engineering

Author : José Mira,José R. Álvarez
Publisher : Springer
Page : 650 pages
File Size : 49,7 Mb
Release : 2007-06-23
Category : Computers
ISBN : 9783540730552

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Nature Inspired Problem-Solving Methods in Knowledge Engineering by José Mira,José R. Álvarez Pdf

The second of a two-volume set, this book constitutes the refereed proceedings of the Second International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2007, held in La Manga del Mar Menor, Spain in June 2007. It contains all the contributions connected with biologically inspired methods and techniques for solving AI and knowledge engineering problems in different application domains.

Nature-Inspired Computation in Navigation and Routing Problems

Author : Xin-She Yang,Yu-Xin Zhao
Publisher : Springer Nature
Page : 230 pages
File Size : 44,5 Mb
Release : 2020-02-19
Category : Technology & Engineering
ISBN : 9789811518423

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Nature-Inspired Computation in Navigation and Routing Problems by Xin-She Yang,Yu-Xin Zhao Pdf

This book discusses all the major nature-inspired algorithms with a focus on their application in the context of solving navigation and routing problems. It also reviews the approximation methods and recent nature-inspired approaches for practical navigation, and compares these methods with traditional algorithms to validate the approach for the case studies discussed. Further, it examines the design of alternative solutions using nature-inspired techniques, and explores the challenges of navigation and routing problems and nature-inspired metaheuristic approaches.

Nature-Inspired Computation and Swarm Intelligence

Author : Xin-She Yang
Publisher : Academic Press
Page : 444 pages
File Size : 44,5 Mb
Release : 2020-04-09
Category : Computers
ISBN : 9780128226094

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Nature-Inspired Computation and Swarm Intelligence by Xin-She Yang Pdf

Nature-inspired computation and swarm intelligence have become popular and effective tools for solving problems in optimization, computational intelligence, soft computing and data science. Recently, the literature in the field has expanded rapidly, with new algorithms and applications emerging. Nature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications is a timely reference giving a comprehensive review of relevant state-of-the-art developments in algorithms, theory and applications of nature-inspired algorithms and swarm intelligence. It reviews and documents the new developments, focusing on nature-inspired algorithms and their theoretical analysis, as well as providing a guide to their implementation. The book includes case studies of diverse real-world applications, balancing explanation of the theory with practical implementation. Nature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications is suitable for researchers and graduate students in computer science, engineering, data science, and management science, who want a comprehensive review of algorithms, theory and implementation within the fields of nature inspired computation and swarm intelligence. Introduces nature-inspired algorithms and their fundamentals, including: particle swarm optimization, bat algorithm, cuckoo search, firefly algorithm, flower pollination algorithm, differential evolution and genetic algorithms as well as multi-objective optimization algorithms and others Provides a theoretical foundation and analyses of algorithms, including: statistical theory and Markov chain theory on the convergence and stability of algorithms, dynamical system theory, benchmarking of optimization, no-free-lunch theorems, and a generalized mathematical framework Includes a diversity of case studies of real-world applications: feature selection, clustering and classification, tuning of restricted Boltzmann machines, travelling salesman problem, classification of white blood cells, music generation by artificial intelligence, swarm robots, neural networks, engineering designs and others

Nature-Inspired Computing for Control Systems

Author : Hiram Eredín Ponce Espinosa
Publisher : Springer
Page : 289 pages
File Size : 42,7 Mb
Release : 2015-12-16
Category : Technology & Engineering
ISBN : 9783319262307

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Nature-Inspired Computing for Control Systems by Hiram Eredín Ponce Espinosa Pdf

The book presents recent advances in nature-inspired computing, giving a special emphasis to control systems applications. It reviews different techniques used for simulating physical, chemical, biological or social phenomena at the purpose of designing robust, predictive and adaptive control strategies. The book is a collection of several contributions, covering either more general approaches in control systems, or methodologies for control tuning and adaptive controllers, as well as exciting applications of nature-inspired techniques in robotics. On one side, the book is expected to motivate readers with a background in conventional control systems to try out these powerful techniques inspired by nature. On the other side, the book provides advanced readers with a deeper understanding of the field and a broad spectrum of different methods and techniques. All in all, the book is an outstanding, practice-oriented reference guide to nature-inspired computing addressing graduate students, researchers and practitioners in the field of control engineering.

Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1780 pages
File Size : 42,9 Mb
Release : 2016-07-26
Category : Computers
ISBN : 9781522507895

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Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

As technology continues to become more sophisticated, mimicking natural processes and phenomena also becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for man-made computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications takes an interdisciplinary approach to the topic of natural computing, including emerging technologies being developed for the purpose of simulating natural phenomena, applications across industries, and the future outlook of biologically and nature-inspired technologies. Emphasizing critical research in a comprehensive multi-volume set, this publication is designed for use by IT professionals, researchers, and graduate students studying intelligent computing.

Mobile Robots Navigation

Author : Luis Payá,Reinoso Garcia
Publisher : MDPI
Page : 298 pages
File Size : 53,8 Mb
Release : 2020-11-13
Category : Technology & Engineering
ISBN : 9783039286706

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Mobile Robots Navigation by Luis Payá,Reinoso Garcia Pdf

The presence of mobile robots in diverse scenarios is considerably increasing to perform a variety of tasks. Among them, many developments have occurred in the fields of ground, underwater, and flying robotics. Independent of the environment where they move, navigation is a fundamental ability of mobile robots so that they can autonomously complete high-level tasks. This problem can be efficiently addressed through the following actions: First, it is necessary to perceive the environment in which the robot has to move, and extract some relevant information (mapping problem). Second, the robot must be able to estimate its position and orientation within this environment (localization problem). With this information, a trajectory toward the target points must be planned (path planning), and the vehicle must be reactively guided along this trajectory considering either possible changes or interactions with the environment or with the user (control). Given this information, this book introduces current frameworks in these fields (mapping, localization, path planning, and control) and, in general, approaches to any problem related to the navigation of mobile robots, such as odometry, exploration, obstacle avoidance, and simulation.

Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

Author : Patricia Melin,Oscar Castillo,Janusz Kacprzyk
Publisher : Springer
Page : 637 pages
File Size : 44,6 Mb
Release : 2015-06-12
Category : Computers
ISBN : 9783319177472

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Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization by Patricia Melin,Oscar Castillo,Janusz Kacprzyk Pdf

This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in eight main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on fuzzy systems. The second part contains papers with the main theme of neural networks theory, which are basically papers dealing with new concepts and algorithms in neural networks. The third part contains papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The fourth part contains papers describing new nature-inspired optimization algorithms. The fifth part presents diverse applications of nature-inspired optimization algorithms. The sixth part contains papers describing new optimization algorithms. The seventh part contains papers describing applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. Finally, the eighth part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques.

Nature-Inspired Networking

Author : Phan Cong-Vinh
Publisher : CRC Press
Page : 364 pages
File Size : 45,5 Mb
Release : 2018-02-13
Category : Computers
ISBN : 9781351182072

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Nature-Inspired Networking by Phan Cong-Vinh Pdf

"Nature-inspired" includes, roughly speaking, "bio-inspired"+"physical-inspired"+"social-inspired"+ and so on. This book contains highly original contributions about how nature is going to shape networking systems of the future. Hence, it focuses on rigorous approaches and cutting-edge solutions, which encompass three classes of major methods: 1) Those that take inspiration from nature for the development of novel problem solving techniques; 2) Those that are based on the use of networks to synthesize natural phenomena; and 3) Those that employ natural materials to compute or communicate.

Nature Inspired Computing

Author : Bijaya Ketan Panigrahi,M. N. Hoda,Vinod Sharma,Shivendra Goel
Publisher : Springer
Page : 210 pages
File Size : 49,6 Mb
Release : 2017-10-03
Category : Computers
ISBN : 9789811067471

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Nature Inspired Computing by Bijaya Ketan Panigrahi,M. N. Hoda,Vinod Sharma,Shivendra Goel Pdf

This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volumes cover diverse topics ranging from communications networks to big data analytics, and from system architecture to cyber security. This volume focuses on Nature Inspired Computing. The contents of this book will be useful to researchers and students alike.

Vision-Based Mobile Robot Control and Path Planning Algorithms in Obstacle Environments Using Type-2 Fuzzy Logic

Author : Mahmut Dirik,Oscar Castillo,Fatih Kocamaz
Publisher : Springer Nature
Page : 143 pages
File Size : 47,5 Mb
Release : 2021-03-01
Category : Technology & Engineering
ISBN : 9783030692476

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Vision-Based Mobile Robot Control and Path Planning Algorithms in Obstacle Environments Using Type-2 Fuzzy Logic by Mahmut Dirik,Oscar Castillo,Fatih Kocamaz Pdf

The book includes topics, such as: path planning, avoiding obstacles, following the path, go-to-goal control, localization, and visual-based motion control. The theoretical concepts are illustrated with a developed control architecture with soft computing and artificial intelligence methods. The proposed vision-based motion control strategy involves three stages. The first stage consists of the overhead camera calibration and the configuration of the working environment. The second stage consists of a path planning strategy using several traditional path planning algorithms and proposed planning algorithm. The third stage consists of the path tracking process using previously developed Gauss and Decision Tree control approaches and the proposed Type-1 and Type-2 controllers. Two kinematic structures are utilized to acquire the input values of controllers. These are Triangle Shape-Based Controller Design, which was previously developed and Distance-Based Triangle Structure that is used for the first time in conducted experiments. Four different control algorithms, Type-1 fuzzy logic, Type-2 Fuzzy Logic, Decision Tree Control, and Gaussian Control have been used in overall system design. The developed system includes several modules that simplify characterizing the motion control of the robot and ensure that it maintains a safe distance without colliding with any obstacles on the way to the target. The topics of the book are extremely relevant in many areas of research, as well as in education in courses in computer science, electrical and mechanical engineering and in mathematics at the graduate and undergraduate levels.

Nature-Inspired Algorithms for Big Data Frameworks

Author : Banati, Hema,Mehta, Shikha,Kaur, Parmeet
Publisher : IGI Global
Page : 412 pages
File Size : 42,9 Mb
Release : 2018-09-28
Category : Computers
ISBN : 9781522558538

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Nature-Inspired Algorithms for Big Data Frameworks by Banati, Hema,Mehta, Shikha,Kaur, Parmeet Pdf

As technology continues to become more sophisticated, mimicking natural processes and phenomena becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for manmade computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Algorithms for Big Data Frameworks is a collection of innovative research on the methods and applications of extracting meaningful information from data using algorithms that are capable of handling the constraints of processing time, memory usage, and the dynamic and unstructured nature of data. Highlighting a range of topics including genetic algorithms, data classification, and wireless sensor networks, this book is ideally designed for computer engineers, software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the application of nature and biologically inspired algorithms for handling challenges posed by big data in diverse environments.

Recent Advances in Automation, Robotics and Measuring Techniques

Author : Roman Szewczyk,Cezary Zieliński,Małgorzata Kaliczyńska
Publisher : Springer
Page : 744 pages
File Size : 52,9 Mb
Release : 2014-07-08
Category : Technology & Engineering
ISBN : 9783319053530

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Recent Advances in Automation, Robotics and Measuring Techniques by Roman Szewczyk,Cezary Zieliński,Małgorzata Kaliczyńska Pdf

This book presents the recent advances and developments in control, automation, robotics and measuring techniques. It presents contributions of top experts in the fields, focused on both theory and industrial practice. The particular chapters present a deep analysis of a specific technical problem which is in general followed by a numerical analysis and simulation and results of an implementation for the solution of a real world problem. The book presents the results of the International Conference AUTOMATION 2014 held 26 - 28 March, 2014 in Warsaw, Poland on Automation – Innovations and Future Prospectives The presented theoretical results, practical solutions and guidelines will be useful for both researchers working in the area of engineering sciences and for practitioners solving industrial problems.

Discrete Problems in Nature Inspired Algorithms

Author : Anupam Prof. Shukla,Ritu Tiwari
Publisher : CRC Press
Page : 310 pages
File Size : 51,9 Mb
Release : 2017-12-15
Category : Computers
ISBN : 9781351260879

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Discrete Problems in Nature Inspired Algorithms by Anupam Prof. Shukla,Ritu Tiwari Pdf

This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization problems, path formation problems, etc. Each chapter includes the introduction of the basic traditional nature inspired algorithm and discussion of the modified version for discrete algorithms including problems pertaining to discussed algorithms.