Cloud Robotics

“Cloud Robotics” is an essential resource for anyone eager to explore the cuttingedge intersection of cloud computing and robotics. This book presents a comprehensive overview of the concepts and technologies that enable robots to harness the power of cloud systems for enhanced performance and intelligence. Written by Fouad Sabry, a seasoned expert in robotics science, this book is perfect for professionals, undergraduate and graduate students, as well as robotics enthusiasts and hobbyists.

Chapters Brief Overview:

1: Cloud robotics: An introduction to cloud robotics, explaining how cloud infrastructure supports robots' processing and storage capabilities.

2: Client–server model: A detailed look at the clientserver architecture that facilitates communication between robots and cloud servers.

3: Neuromorphic computing: Explores how neuromorphic computing mimics the brain's neural networks, advancing robotic learning and decisionmaking.

4: Simultaneous localization and mapping: Focuses on the integration of cloud computing to optimize realtime robot mapping and localization.

5: Computational intelligence: Delves into computational intelligence techniques used to improve robots' autonomous decisionmaking in cloud environments.

6: Neuroinformatics: Examines the role of neuroinformatics in bridging neural computing and robotics within the cloud.

7: Robot learning: Discusses machine learning strategies for robots, leveraging cloud resources to enhance learning and adaptation.

8: Gregory Dudek: Highlights the contributions of Gregory Dudek to the field of robotics and his influence on cloudbased robotics research.

9: Edge computing: Explores how edge computing is integrated with cloud robotics to process data closer to the source, improving efficiency.

10: Cyber–physical system: An analysis of the cyberphysical systems used in cloud robotics to link physical robots with cloudbased data and software.

11: Cloud computing: Covers cloud computing fundamentals, emphasizing its importance in the development and evolution of cloud robotics.

12: Deep learning: Examines deep learning techniques in robotics, showing how robots use cloudbased deep learning models for enhanced autonomy.

13: Google Brain: A look at how Google Brain contributes to AI and cloudbased robotics, revolutionizing machine learning models for robots.

14: AI accelerator: Explores how AI accelerators power cloud robotics, boosting robots’ capabilities with advanced computational power.

15: Amir Hussain (cognitive scientist): Reviews Amir Hussain’s work on cognitive robotics and how it informs cloud robotics development.

16: Fog robotics: Investigates fog computing and its synergy with cloud robotics to process data and enhance robot performance at the edge.

17: Multitask optimization: Discusses methods for multitask optimization, ensuring that cloud robots efficiently handle complex tasks simultaneously.

18: Aude Billard: Examines Aude Billard's groundbreaking work in robotic learning and its integration with cloud systems for improved robot behavior.

19: Juyang Weng: Highlights Juyang Weng’s contributions to robotics, particularly in cognitive modeling and cloudbased robot intelligence.

20: Cache (computing): Provides insights into cache computing and how caching techniques optimize cloud robotics for better performance.

21: Peertopeer: Concludes with an exploration of peertopeer networking in cloud robotics, enabling decentralized and efficient communication between robots.

This book will help you understand how cloud computing is transforming robotics, offering indepth insights into its various applications. Whether you're a professional in the field or a student looking to deepen your knowledge, “Cloud Robotics” will be an invaluable addition to your library.