Autonomous Mobile Robots

Planning, Navigation and Simulation

AvRahul Kala

Häftad, Engelska, 2023

Del i serien Emerging Methodologies and Applications in Modelling, Identification and Control

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Beskrivning

Autonomous Mobile Robots: Planning, Navigation, and Simulation presents detailed 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. It 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, it presents a variety of planning algorithms to choose from, presenting the tradeoffs between the algorithms to ascertain a good choice.

Finally, the book 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

Produktinformation

Utgivningsdatum:2023-09-07
Mått:152 x 229 x 55 mm
Vikt:1 690 g
Format:Häftad
Språk:Engelska
Serie:Emerging Methodologies and Applications in Modelling, Identification and Control
Antal sidor:1 088
Förlag:Elsevier Science
ISBN:9780443189081

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Mer om författaren

Rahul Kala is an assistant professor at the Centre of Intelligent Robotics, Indian Institute of Information Technology, Allahabad, India, where he received his B.Tech. and M.Tech. degrees in information technology. He received his Ph.D. degree in cybernetics from the University of Reading, UK in 2013. Dr. Kala has authored four books, 100 scientific papers, and is an active reviewer of leading journals of the domain. He has received numerous scholarships and grants from the Government of India, and is a recipient of the Best PhD Dissertation award from the IEEE Intelligent Transportation Systems Society.

Innehållsförteckning

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