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CLOUD ROBOTICS
AND AUTOMATION
A Research of Intelligence
Presented by:
Sania Shoaib
Areeba Binte Arif
Sarosh Javed
Jinnah University for Women, Karachi.
Abstract:
Here, our basic proposition is the Cloud Robotic and Automation systems
which are considered as any robots or automation systems that only relies on a
data or a code from a network to supports its operation, without embedding all
sensational, computational, and memorial data into a single standalone system.
The study is organized around four basic potential advantages of the Cloud: 1)
The Big Data: which is accessed to any libraries of images, maps, and even
descriptive data; 2) The Cloud Computing: which is accessed to comparable
grid computing on the demand for statistical analysis, learning, and motion
planning; 3) The Robot Learning: robots sharing trajectories, control policies,
and outcomes are involved in it; 4) The Human Computation: The rapid use of
initially crowd- sourcing is to tap human skills for the analyzing of images
and video by classifying , learning ,and error recovering. The Cloud can also
improve robots and automation systems by providing access to: a) publications
and recreational tools; b) open competitions for designs and systems.
Jinnah University for Women, Karachi.
Big Data:
Big data is the extreme volume of data, the wide variety of data types and
the velocity at which the data must be processed.
Data may also exist in a wide variety of file types, including structured data, such
as SQL database stores; unstructured data, such as document files; or streaming
data from sensors.
Big Data analytics find insights that help organizations make better business
decisions.
 Computers are the workhorses behind every data strategy. Programmers will have
a constant need to come up with algorithms to process data into insights.
You should have the ability to create new methods to gather, interpret, and analyze
a data strategy.
Jinnah University for Women, Karachi.
Cloud Computing and Automation:
Cloud computing deployed the resources to improve the complexity within
cloud computing organization.
The tools and procedures are denoted by Cloud automation in order to
moderate the efforts used by a group.
Cloud computing stores data and programs for the accessibility over the
Internet.
Cloud computing plays a vital role in speeding up many applications that
are used for intensive robotics and Automation system.
Cloud Computing basically provide benefits to the user within the
technologies without knowing the expertise.
In cloud computing, virtualized technology splits physical devices into
more than one virtual devices to make the usage and performance easier.
Jinnah University for Women, Karachi.
Robot Learning:
The cloud is helpful in sharing the data for robot learning which collects
the data through different environment and physical trials.
It considers Robotics and Automation system which share many desirable
conditions, trajectories, control policies and most importantly the data.
The data is obtained on the outcomes and the resulting performance.
"Lighten" framework proposes collective robot learning by indexing a
path.
The system expends worldwide network for sharing the data from Robot
learning.
It can enhance the abilities of the robot through restricted computational
resources.
Jinnah University for Women, Karachi.
Human Computation:
In Human Computation, the core aim is to make any machine able
enough to perform specific functions by obtaining many steps or
procedures to humans, usually known as Micro Work.
Micro work is a series of small tasks that comprises a large unified
project and are completed by many people over the Internet.
The use is simply the easier to make certain differences in capabilities
with alternate costs for achieving human computer Interaction.
Jinnah University for Women, Karachi.
Challenges and Future Directions:
Using the Cloud introduces many new challenges. The connectivity in the Cloud
raises a range of privacy and security concern. These concerns include data,
generated by Cloud-connected robots and sensors. Cloud Robotics and Automation
also introduces the potential of robots and systems to be attacked remotely where a
hacker could take over a robot and use it to disrupt functionality or cause damage.
Moving robotics and automation algorithms into Cloud requires frameworks for
facilitating this transition.
The lowest level is "Infrastructure as a Service (IaaS)", where bared operating
systems are provided on machines within the Cloud.
"Platform as a Service (PaaS)", provides more structure while restricting the choice
of programming languages, system architectures, and database models that can be
used.
"Software as a Service (SaaS)", the highest level of structure, is illustrated by the
difference between Google Docs, a Cloud-based word processor, and Microsoft
Word, which must be downloaded and installed.
Jinnah University for Women, Karachi.
Conclusion:
After completing the research, we have learnt the use of cloud robotics in
invoking several cloud technologies. Cloud Robotics is a new robotic
approach for taking not only the internet resources for real-time sharing but
also the computational approaches for large data resources. An Automated
or robotic system not only depends on code or data but also supports its
operations through a network. It takes particular database to exceed its
working capacity.
In Geospatial industry, big data emerged to be in the year 2012. But later on
in 2015, it gain the rapid increase within time. Cloud Computing is
considered as the main or the primary building block in the paradigm of
Cloud computing where different modules and resources are being
deployed. Cloud computing is easily accessible over the internet. It involves
Virtualization which is the main empowering technology. The cloud plays
an important role in helping for sharing of data it can collect.
Jinnah University for Women, Karachi.
Thank you !!!
Jinnah University for Women, Karachi.

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Cloud robotics and automation

  • 1. CLOUD ROBOTICS AND AUTOMATION A Research of Intelligence Presented by: Sania Shoaib Areeba Binte Arif Sarosh Javed Jinnah University for Women, Karachi.
  • 2. Abstract: Here, our basic proposition is the Cloud Robotic and Automation systems which are considered as any robots or automation systems that only relies on a data or a code from a network to supports its operation, without embedding all sensational, computational, and memorial data into a single standalone system. The study is organized around four basic potential advantages of the Cloud: 1) The Big Data: which is accessed to any libraries of images, maps, and even descriptive data; 2) The Cloud Computing: which is accessed to comparable grid computing on the demand for statistical analysis, learning, and motion planning; 3) The Robot Learning: robots sharing trajectories, control policies, and outcomes are involved in it; 4) The Human Computation: The rapid use of initially crowd- sourcing is to tap human skills for the analyzing of images and video by classifying , learning ,and error recovering. The Cloud can also improve robots and automation systems by providing access to: a) publications and recreational tools; b) open competitions for designs and systems. Jinnah University for Women, Karachi.
  • 3. Big Data: Big data is the extreme volume of data, the wide variety of data types and the velocity at which the data must be processed. Data may also exist in a wide variety of file types, including structured data, such as SQL database stores; unstructured data, such as document files; or streaming data from sensors. Big Data analytics find insights that help organizations make better business decisions.  Computers are the workhorses behind every data strategy. Programmers will have a constant need to come up with algorithms to process data into insights. You should have the ability to create new methods to gather, interpret, and analyze a data strategy. Jinnah University for Women, Karachi.
  • 4. Cloud Computing and Automation: Cloud computing deployed the resources to improve the complexity within cloud computing organization. The tools and procedures are denoted by Cloud automation in order to moderate the efforts used by a group. Cloud computing stores data and programs for the accessibility over the Internet. Cloud computing plays a vital role in speeding up many applications that are used for intensive robotics and Automation system. Cloud Computing basically provide benefits to the user within the technologies without knowing the expertise. In cloud computing, virtualized technology splits physical devices into more than one virtual devices to make the usage and performance easier. Jinnah University for Women, Karachi.
  • 5. Robot Learning: The cloud is helpful in sharing the data for robot learning which collects the data through different environment and physical trials. It considers Robotics and Automation system which share many desirable conditions, trajectories, control policies and most importantly the data. The data is obtained on the outcomes and the resulting performance. "Lighten" framework proposes collective robot learning by indexing a path. The system expends worldwide network for sharing the data from Robot learning. It can enhance the abilities of the robot through restricted computational resources. Jinnah University for Women, Karachi.
  • 6. Human Computation: In Human Computation, the core aim is to make any machine able enough to perform specific functions by obtaining many steps or procedures to humans, usually known as Micro Work. Micro work is a series of small tasks that comprises a large unified project and are completed by many people over the Internet. The use is simply the easier to make certain differences in capabilities with alternate costs for achieving human computer Interaction. Jinnah University for Women, Karachi.
  • 7. Challenges and Future Directions: Using the Cloud introduces many new challenges. The connectivity in the Cloud raises a range of privacy and security concern. These concerns include data, generated by Cloud-connected robots and sensors. Cloud Robotics and Automation also introduces the potential of robots and systems to be attacked remotely where a hacker could take over a robot and use it to disrupt functionality or cause damage. Moving robotics and automation algorithms into Cloud requires frameworks for facilitating this transition. The lowest level is "Infrastructure as a Service (IaaS)", where bared operating systems are provided on machines within the Cloud. "Platform as a Service (PaaS)", provides more structure while restricting the choice of programming languages, system architectures, and database models that can be used. "Software as a Service (SaaS)", the highest level of structure, is illustrated by the difference between Google Docs, a Cloud-based word processor, and Microsoft Word, which must be downloaded and installed. Jinnah University for Women, Karachi.
  • 8. Conclusion: After completing the research, we have learnt the use of cloud robotics in invoking several cloud technologies. Cloud Robotics is a new robotic approach for taking not only the internet resources for real-time sharing but also the computational approaches for large data resources. An Automated or robotic system not only depends on code or data but also supports its operations through a network. It takes particular database to exceed its working capacity. In Geospatial industry, big data emerged to be in the year 2012. But later on in 2015, it gain the rapid increase within time. Cloud Computing is considered as the main or the primary building block in the paradigm of Cloud computing where different modules and resources are being deployed. Cloud computing is easily accessible over the internet. It involves Virtualization which is the main empowering technology. The cloud plays an important role in helping for sharing of data it can collect. Jinnah University for Women, Karachi.
  • 9. Thank you !!! Jinnah University for Women, Karachi.