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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.
"Recent Advances in Intelligent Control Systems" gathers contributions from workers around the world and presents them in four categories according to the style of control employed: fuzzy control; neural control; fuzzy neural control; and intelligent control. The contributions illustrate the interdisciplinary antecedents of intelligent control and contrast its results with those of more traditional control methods. A variety of design examples, drawn primarily from robotics and mechatronics but also representing process and production engineering, large civil structures, network flows, and others, provide instances of the application of computational intelligence for control. Presenting state-of-the-art research, this collection will be of benefit to researchers in automatic control, automation, computer science (especially artificial intelligence) and mechatronics while graduate students and practicing control engineers working with intelligent systems will find it a good source of study material.
Providing an updated summary of the application of different types of sensors for the analysis of food safety and quality, this book discusses the core principles, current research status, challenges and successful examples for each technology. In addition, the prospective and future trends for each topic are covered in each chapter. The editor and contributors are all experts in designing and constructing different types of sensors in food analysis, mainly focusing on the determination of food safety and quality. Sensors, as a new generation of detection technique, have many advantages and the application of sensors in food analysis will continue to grow in the next decades. However, until now, there has been no book providing the detailed characterization and summary of sensors in food safety and quality analysis that this book provides. It is vital reading for academic researchers and practising professionals in Food Science, Agricultural Engineering, Biological Systems Engineering, Food Safety, Food Quality and Food Analysis who are using sensors in their work.
Emerging Metal Ion Hybrid Capacitors Based on Nanomaterials covers recent developments, challenges and future perspectives of nanomaterials based metal ion hybrid capacitors for future energy storage devices. Edited by an expert in the field, the book is an essential companion for researchers, academics and industry workers.
Research for clean energy is booming, driven by the rapid depletion of fossil fuels and growing environmental concerns as well as the increasing growth of mobile electronic devices. Consequently, various research fields have focused on the development of high-performance materials for alternative energy technologies.Advanced Materials for Clean Ene