Cloud Robotics: Harnessing Networked Intelligence for the Next Era of Autonomous Machines

· Robotics Science Book 17 · One Billion Knowledgeable · AI-narrated by Maxwell (from Google)
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7 hr 3 min
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About this audiobook

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.

About the author

Fouad Sabry is the former Regional Head of Business Development for Applications at HP. Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual master’s degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010. Fouad has more than 30 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM. Fouad joined HP in 2013 and helped develop the business in tens of markets. Currently, Fouad is an entrepreneur, author, futurist, and founder of One Billion Knowledge (1BK) Initiative.

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