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Prepared By: Ank Khandelwal (ECE)
             Rahul Koul (ECE)
What is
Cloud Computing
As an end-consumer, believe it or not
you’ve been using   Cloud for long times
“We” have been enjoying

        High Reliability Service

                Unlimited Storage




                Connecting, Sharing
We need only
Employees




                        Suppliers


Customers
Increasing Demand of Robots


         • Robot will be required to operate in homes and
         in hospitals to service the rapidly aging population.


         • Will be required to mine and farm in increasingly
         remote areas.


         • Robots will need to perform tasks beyond their
         explicitly pre-programmed behaviors and quickly
         adapt to variable nature of tasks
To perform all these tasks Robot will need to carry powerful computers
and large batteries to power them .
Working of

Cloud Robotics…..
Navigating to the      Grasping and picking
Locating the bottle                                up the bottle
                         bottle’s position




                           Robot A




Giving the bottle to   Navigating towards the   Locating the patient
    the patient                patient
Queries the
                                    Downloads the
Robot B        database for
                                     knowledge
           relevant information




          Sends it’s experience   Perform the specific
            to the database              task
• The information downloaded provides a useful starting point.

• The detailed object models can increase the speed and
  reliability of Robot B

• A set of collected information can guide the 2nd robot’s search
  and execution strategy.

• As the two robots continue to perform their tasks and pool
  their data, the quality of prior information will improve and
  begin to reveal underlying patterns and correlations about
  robots and their environment.

• The availability of such prior information is a necessary
  condition for robots to operate in a more complex,
  unstructured environments.
World wide web for Robots
Server
• Core layer

• Holds database

• Accessible via common web interfaces

• Contains CAD models, point-clouds and image data

• Maps are saved as compressed archives

• Robot task description stored as human readable action recipe

• Action recipe arranged in a hierarchy
Server

                                                                        e
       Ob                                                       e cip
                                                             n r ns
      •T    jec                        on
                                                            o
                                                         cti trai
   •D ype
•L ime s        ts                 cti              u
                                                        a
                                                      b- ons ter
                                                 f s g c me
  oc n
     at sio
       ion n s
                     Environment A              o
                                            ist erin par
                                                             a
                     •Maps for           • L rd n
                                             • O ctio
                     self-localization          •A
Interfaces

1. Web interface

2. Based on Representation State Transfer
   (RSET) architecture.

3. Based on publish/subscribe message
   exchange pattern
Generic Components

Action Execution :
 Determining and checking the availability of a set of skills required for the task.

 Finding an ordering among them that satisfies the ordering constraints.

 Linking a robot’s perceptions to the abstract task description given by action recipe.

 Reliable action execution.
Environment Modeling

1. World model component combine prior information available via database
   with robot sensory input

2. To guarantee fast and safe performance it uses a two-level approach.




                          Semantic Mapping

      •   RoboEarth database provides generic action recipes defined in terms of
          robot’s skills, its environment, and the objects it is going to interact.
Learning
1. Repeated use of action recipes an skills offers many opportunities to improve the
   reliability and performance of action execution.
Robot Specific
Action and situation recognition and labeling


• The generation of useful, transferable action recipes and their
  successful reuse is challenging task

• The recognition and labeling component is designed to simplify
  the generation of new action by abstracting from the robot-
  specific low level layer and aggregating subsequent steps that
  belong to one complex task into an abstract task description.

• Essential for learning new recipes by demonstration.
Skill Abstraction Layer and Robot Specific Components :


 • Provides a generic interface to robot’s specific, hardware-
   dependent functionalities.
Benefits

• Provides a shared knowledge i.e. organizes and unifies
   information about the world
in a format usable by robots.
• Offloads heavy computing tasks to the cloud.
• Longer battery life.
• Less need for software upgrades are invisible and hassle-
   free.
• Reusable library of “skills” or behaviors that map to
   perceived task requirements / complex situations.
• Data-mining the history of all cloud-enabled robots.
I need a helicopter pilot program….




    Trinity from Matrix
Cloud robotics

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Cloud robotics

  • 1. Prepared By: Ank Khandelwal (ECE) Rahul Koul (ECE)
  • 3. As an end-consumer, believe it or not you’ve been using Cloud for long times
  • 4. “We” have been enjoying High Reliability Service Unlimited Storage Connecting, Sharing
  • 6. Employees Suppliers Customers
  • 7. Increasing Demand of Robots • Robot will be required to operate in homes and in hospitals to service the rapidly aging population. • Will be required to mine and farm in increasingly remote areas. • Robots will need to perform tasks beyond their explicitly pre-programmed behaviors and quickly adapt to variable nature of tasks
  • 8. To perform all these tasks Robot will need to carry powerful computers and large batteries to power them .
  • 10. Navigating to the Grasping and picking Locating the bottle up the bottle bottle’s position Robot A Giving the bottle to Navigating towards the Locating the patient the patient patient
  • 11. Queries the Downloads the Robot B database for knowledge relevant information Sends it’s experience Perform the specific to the database task
  • 12. • The information downloaded provides a useful starting point. • The detailed object models can increase the speed and reliability of Robot B • A set of collected information can guide the 2nd robot’s search and execution strategy. • As the two robots continue to perform their tasks and pool their data, the quality of prior information will improve and begin to reveal underlying patterns and correlations about robots and their environment. • The availability of such prior information is a necessary condition for robots to operate in a more complex, unstructured environments.
  • 13. World wide web for Robots
  • 14.
  • 15.
  • 16. Server • Core layer • Holds database • Accessible via common web interfaces • Contains CAD models, point-clouds and image data • Maps are saved as compressed archives • Robot task description stored as human readable action recipe • Action recipe arranged in a hierarchy
  • 17. Server e Ob e cip n r ns •T jec on o cti trai •D ype •L ime s ts cti u a b- ons ter f s g c me oc n at sio ion n s Environment A o ist erin par a •Maps for • L rd n • O ctio self-localization •A
  • 18. Interfaces 1. Web interface 2. Based on Representation State Transfer (RSET) architecture. 3. Based on publish/subscribe message exchange pattern
  • 19. Generic Components Action Execution :  Determining and checking the availability of a set of skills required for the task.  Finding an ordering among them that satisfies the ordering constraints.  Linking a robot’s perceptions to the abstract task description given by action recipe.  Reliable action execution.
  • 20. Environment Modeling 1. World model component combine prior information available via database with robot sensory input 2. To guarantee fast and safe performance it uses a two-level approach. Semantic Mapping • RoboEarth database provides generic action recipes defined in terms of robot’s skills, its environment, and the objects it is going to interact.
  • 21. Learning 1. Repeated use of action recipes an skills offers many opportunities to improve the reliability and performance of action execution.
  • 22. Robot Specific Action and situation recognition and labeling • The generation of useful, transferable action recipes and their successful reuse is challenging task • The recognition and labeling component is designed to simplify the generation of new action by abstracting from the robot- specific low level layer and aggregating subsequent steps that belong to one complex task into an abstract task description. • Essential for learning new recipes by demonstration.
  • 23. Skill Abstraction Layer and Robot Specific Components : • Provides a generic interface to robot’s specific, hardware- dependent functionalities.
  • 24. Benefits • Provides a shared knowledge i.e. organizes and unifies information about the world in a format usable by robots. • Offloads heavy computing tasks to the cloud. • Longer battery life. • Less need for software upgrades are invisible and hassle- free. • Reusable library of “skills” or behaviors that map to perceived task requirements / complex situations. • Data-mining the history of all cloud-enabled robots.
  • 25. I need a helicopter pilot program…. Trinity from Matrix