Autonomous Mobile Robots: Planning, Navigation, and Simulation presents detailed and complete coverage of the domain of robotics in motion planning and associated topics in navigation. This book covers numerous base planning methods from diverse schools of learning, including deliberative planning methods, reactive planning methods, task planning methods, fusion of different methods, and cognitive architectures.This book is a good resource for doing initial project work in robotics, providing an overview, methods and simulation software in one resource. For more advanced readers doing specialized projects, it presents a variety of planning algorithms to choose from, presenting the tradeoffs between the algorithms to ascertain a good choice. The book also presents fusion mechanisms to design hybrid algorithms. Presents intuitive and practical coverage of all sub-problems of mobile robotics to enable easy comprehension of sophisticated modern-day robots Covers a wide variety of motion planning algorithms, giving a near-exhaustive treatment of the domain with thought provoking comparisons between algorithms Dives into detailed discussions on robot operating systems and other simulators to get hands-on knowledge without the need of in-house robots INDICE: 1. An Introduction to Robotics 2. Localization, Mapping, and Control 3. An Introduction to Motion Planning with Bug Algorithms 4. Intelligent Graph Search Basics 5. Graph Search based Motion Planning 6. Configuration Space and Collision Checking 7. Roadmap and Cell Decomposition based Motion Planning 8. Probabilistic Roadmap 9. Rapidly-exploring Random Trees 10. Artificial Potential Field 11. Geometric and Fuzzy-Logic based Motion Planning 12. An Introduction to Machine Learning and Neural Networks 13. Learning-based Robot Motion Planning 14. An Introduction to Evolutionary Computation 15. Evolutionary Robot Motion Planning 16. Hybrid Planning Techniques 17. Multi-Robot Motion Planning 18. Task Planning Approaches 19. Motion Planning in Uncertainties and Reinforcement Learning20. Swarm and Evolutionary Robotics21. Simulation Systems and Case Studies
- ISBN: 978-0-443-18908-1
- Editorial: Academic Press
- Encuadernacion: Rústica
- Páginas: 800
- Fecha Publicación: 01/06/2023
- Nº Volúmenes: 1
- Idioma: Inglés