Obstacle Avoidance In Multi Robot Systems
Download Obstacle Avoidance In Multi Robot Systems PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Obstacle Avoidance In Multi Robot Systems book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Obstacle Avoidance in Multi-robot Systems
Obstacle Avoidance in Multi-robot Systems: Experiments in Parallel Genetic Algorithms offers a novel framework for solving the path planning problem for robot manipulators. Simple and efficient solutions are proposed for the path planning problem based on genetic algorithms. One of the attractive features of genetic algorithms is their ability to solve formidable problems in a robust and straightforward manner. Moreover, genetic algorithms are inherently parallel in nature, which makes them ideal candidates for parallel computing implementations.By combining the robustness of genetic algorithms with the power of parallel computers, this book provides an effective and practical approach to solving path planning problems. The book gives details of implementations that allow a better understanding of the complexities involved in the development of parallel path planning algorithms. The material presented is interdisciplinary in nature ? it combines topics from robotics, genetic algorithms, and parallel processing. The book can be used by practitioners and researchers in computer science and engineering.
Multi-Robot Systems
Robotics is an important part of modern engineering involving electricity and electronics, computers, mathematics, and mechanism design. In recent years, in addition to serial robots, multi-robot systems have begun to attract the attention of students, academics, and industry workers. This interest has directly impacted the development of novel theoretical research areas and products. This book explores new developments in multi-robot systems, such as trajectory planning, control algorithms, and programming.
Handbook of Graph Theory
The Handbook of Graph Theory is the most comprehensive single-source guide to graph theory ever published. Best-selling authors Jonathan Gross and Jay Yellen assembled an outstanding team of experts to contribute overviews of more than 50 of the most significant topics in graph theory-including those related to algorithmic and optimization approach