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Cloud Robotics- Enable Cloud Computing for Robots
This document discusses cloud robotics, which aims to enable cloud computing capabilities for robots. It outlines the inspiration from previous works in cloud computing and robotics. Cloud robotics brings advantages like enabling cheaper, lighter, and smarter robots by offloading processing to the cloud. This allows sharing knowledge and experiences between robots. Some potential applications discussed include autonomous vehicles, medical service robots, and robots with specialized professional skills supported by cloud technologies. The document proposes an initial framework with components like robot emulators, interfaces, data storage, knowledge representation, and machine learning in the cloud. Finally, it notes challenges in sensor integration, communication, knowledge modeling, machine learning, and ethics.
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Cloud Robotics integrates cloud computing with robotics, enhancing robots' capabilities and functionalities.
Key influences on Cloud Robotics include early research and platforms from 2009 to 2012, highlighting milestones and advancements.
Introduces core concepts and foundational ideas behind the integration of cloud computing in robotics.
Details the evolution of robotics from fictional concepts to current cloud-based technologies, mapping milestones since the 1920s.
Focuses on online robot controllers and swarm robotics, which enable coordination among numerous simple robots.
Explains the importance of semantic web technologies for enhancing robot communication and data accuracy.
Discusses agent-oriented programming, defining the autonomy and flexibility of robots in their environments.
Highlights the advantages of cloud robotics such as cost efficiency, shared knowledge bases, and improvements in autonomy and service capabilities.
Presents a proposed framework for cloud robotics architecture, outlining components such as data storage and machine learning implementations.
Addresses key challenges faced in cloud robotics like sensor integration, communication, and ethical considerations.
Final slide, likely indicating the end of the presentation. No specific content mentioned.
Cloud Robotics- Enable Cloud Computing for Robots
- 1. Cloud Robotics Enable CloudComputing for Robots Ruijiao Li 1
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- 3. Inspiration A Survey OnCloud Computing, 2009 James Kuffner – Cloud Computing, 2010 Google Cloud Robotics, 2011 Worlfram Alpha SIRI, Apple Inc. NYU Cloud Robotics, 2012 Medical Cloud - UK 3
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- 6. Background Robotics History Online RobotControllers Swarm Robotics Semantics Web Technology Multi-agent Technology Ontology / Formal Method/ Knowledge Representation 6
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- 8. Robotics History 1920s~ :Robots in fictions. - ―Robot‖ first appeared in a play R.U.R. 1920s~ 1950s: Remotely controlled robots(In Exhibitions). 1960s~: Industrial robot in assemble line. 1970s~: Programmable universal robots. 1980s~: Humanoid 2010~: Cloud Robotics 8
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- 10. Swarm Robotics Swarm roboticsis a new approach to the coordination of multi-robot systems which consist of large numbers of mostly simple physical robots. 10
- 11. Semantics Web Semantically structured knowledge/data International standard Resource Description Framework Web Ontology Language Semantics Search: Higher accuracy i.e. Wolfram|Alpha, Goolge semantics search 11
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- 13. Agent Oriented Programming ―Agent-encapsulated computer system, situated in some environment, and capable of flexible autonomous action in that environment in order to meet its design objectives‖ (Wooldridge) 13
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- 15. Motivation WhyCloud Robotics Enable Cheaper, lighter, ―smarter‖ robots Create ―Shared knowledgebase‖ for robots - Information of the ―world‖/ ‖ Environment‖ - Experience record, Behavior Planning, Data mining, Learning, Dynamic(Updatable) Skills Easier Development 15
- 16. Motivation Autonomous Vehicles + —— Unmanned delivery service Transport for disabled people Dangerous transport alternation Cloud 16
- 17. Motivation Cloud Based MedicalService Robot + + —— User Senso r Medical Senso Interface Cloud User r Senso User r 17
- 18. Motivation Robot Medical Cloud Ontology Semantic Knowledge Query Base System Learning Clinical Agent System System 18
- 19. Motivation Robot with ProfessionalSkill Secretary Chef Systems Research Doctor Assistant Teacher Server 19
- 20. Proposal Frame Work andArchitecture For Robot Cloud. Client Robot Emulator Interface Data Storage Knowledge Representation and Classification Machine Learning Sensor 20
- 21. Proposal Webots Webots Webots Simulato Simulato Simulato … … … … r r r ROS ROS ROS Master Nodes … Master Nodes … Master Nodes … Hadoop Platform Knowledge Applications Applications Base 21
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Editor's Notes
- #3 ----- Meeting Notes (30/08/2012 10:43) -----Talk about cloud robotics and some frontero topic of AI
- #4 ----- Meeting Notes (30/08/2012 11:25) -----09 google chrome os ----- Meeting Notes (30/08/2012 11:35) -----EAP Project
- #9 ----- Meeting Notes (30/08/2012 11:35) -----AD 1st Automatical Mechanic 诸葛亮 木牛流马 16th Duck