Cloud Robotics - Harnessing Networked Intelligence for the Next Era of Autonomous Machines
Fouad Sabry
Verlag: One Billion Knowledgeable
Beschreibung
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.
