Cloud Robotics
1
Presented By
S. K. M Shadekul Islam
ID: 191-15-12836
Section: F
2
Presented To
Israt Jahan
Lecturer
Department of CSE
Daffodil International University
Table Of Contents
What is Cloud Robotics?
History of Cloud Robotics
Components of Cloud Robotics
Importance of Cloud Robotics
Applications of Cloud Robotics
Difference between Cloud Robotics and Automation
Advantages of Cloud Robotics
Challenges Faced by Cloud Robotics
Final Thoughts
3
4
What is Cloud Robotics?
Cloud robotics is a field of robotics that fundamentally determines the use of
distributed computing to maintain robotic functionality. It looks up to leverage cloud
technologies like distributed computing and cloud storage along with robotics, bringing
about a robot that is connected to the cloud by means of the internet.
5
History of Cloud Robotics
The term “Cloud Robotics” was created in 2010 by a research scientist at Google
named James Kuffner.
Basic Concept:
 bulk of processing for devices would take place in the cloud.
 enabling robot manufacturers to create lighter.
 cheaper devices and leverage the power of cloud infrastructure.
6
Components of Cloud Robotics
1. A global library of images, maps, and object data.
2. Massively-parallel computation on-demand.
3. Shared outcomes, trajectories, and dynamic control policies.
4. On-demand human guidance and assistance.
5. “Open-source” code, data, and designs.
6. Augmented human-robot interaction.
Data stored in servers controls every aspect of the robotics machinery, from operations to
analysis. Cloud robotics typically includes the following six components:
7
Importance of Cloud Robotics
Cloud robotics is a new branch of robotics that is based on cloud
computing, cloud storage, and other Internet technologies, with the
benefits of converged infrastructure and shared services at its core.
 Take advantage of modern data centers.
 Decreases reliance on bespoke middleware.
 Offload work without having to meet strict real-time deadlines.
8
Applications of Cloud Robotics
Cloud robotics is increasingly used across a variety of industries that
benefit from robotics, including:
 Healthcare
 Industry/Manufacturing
 Delivery/Shipping
9
Difference between Cloud Robotics and
Automation
The main differentiator between cloud robotics and general automation is the reliance on cloud
technologies.
Cloud robotics also lends itself to the Robots-as-a-Service business model. The cloud-based
infrastructure is designed for remote access of robotic devices, and robotics companies can
lease their technology via the cloud to others for a recurring fee.
10
Advantages of Cloud Robotics
Robots will no longer be limited in their capability and will be able to take use of
all the benefits of cloud infrastructure. Some advantages following:
1. More data storage and processing power are available to the robot.
2. Onboard, cloud-connected robots are not required to undertake difficult activities.
3. Tasks can be accomplished swiftly and in real-time in the cloud.
4. Cloud infrastructure provides on-demand and reliable computational services.
5. Simultaneous localization and mapping (SLAM) and other perception systems evolve.
11
Challenges Faced by Cloud Robotics
 Privacy and Security in Cloud–Robot Systems
 Communication Delays over the Cloud
12
Final Thoughts
Thank You
For Your Patience Hearing…
13

Cloud Robotics.pptx

  • 1.
  • 2.
    Presented By S. K.M Shadekul Islam ID: 191-15-12836 Section: F 2 Presented To Israt Jahan Lecturer Department of CSE Daffodil International University
  • 3.
    Table Of Contents Whatis Cloud Robotics? History of Cloud Robotics Components of Cloud Robotics Importance of Cloud Robotics Applications of Cloud Robotics Difference between Cloud Robotics and Automation Advantages of Cloud Robotics Challenges Faced by Cloud Robotics Final Thoughts 3
  • 4.
    4 What is CloudRobotics? Cloud robotics is a field of robotics that fundamentally determines the use of distributed computing to maintain robotic functionality. It looks up to leverage cloud technologies like distributed computing and cloud storage along with robotics, bringing about a robot that is connected to the cloud by means of the internet.
  • 5.
    5 History of CloudRobotics The term “Cloud Robotics” was created in 2010 by a research scientist at Google named James Kuffner. Basic Concept:  bulk of processing for devices would take place in the cloud.  enabling robot manufacturers to create lighter.  cheaper devices and leverage the power of cloud infrastructure.
  • 6.
    6 Components of CloudRobotics 1. A global library of images, maps, and object data. 2. Massively-parallel computation on-demand. 3. Shared outcomes, trajectories, and dynamic control policies. 4. On-demand human guidance and assistance. 5. “Open-source” code, data, and designs. 6. Augmented human-robot interaction. Data stored in servers controls every aspect of the robotics machinery, from operations to analysis. Cloud robotics typically includes the following six components:
  • 7.
    7 Importance of CloudRobotics Cloud robotics is a new branch of robotics that is based on cloud computing, cloud storage, and other Internet technologies, with the benefits of converged infrastructure and shared services at its core.  Take advantage of modern data centers.  Decreases reliance on bespoke middleware.  Offload work without having to meet strict real-time deadlines.
  • 8.
    8 Applications of CloudRobotics Cloud robotics is increasingly used across a variety of industries that benefit from robotics, including:  Healthcare  Industry/Manufacturing  Delivery/Shipping
  • 9.
    9 Difference between CloudRobotics and Automation The main differentiator between cloud robotics and general automation is the reliance on cloud technologies. Cloud robotics also lends itself to the Robots-as-a-Service business model. The cloud-based infrastructure is designed for remote access of robotic devices, and robotics companies can lease their technology via the cloud to others for a recurring fee.
  • 10.
    10 Advantages of CloudRobotics Robots will no longer be limited in their capability and will be able to take use of all the benefits of cloud infrastructure. Some advantages following: 1. More data storage and processing power are available to the robot. 2. Onboard, cloud-connected robots are not required to undertake difficult activities. 3. Tasks can be accomplished swiftly and in real-time in the cloud. 4. Cloud infrastructure provides on-demand and reliable computational services. 5. Simultaneous localization and mapping (SLAM) and other perception systems evolve.
  • 11.
    11 Challenges Faced byCloud Robotics  Privacy and Security in Cloud–Robot Systems  Communication Delays over the Cloud
  • 12.
  • 13.
    Thank You For YourPatience Hearing… 13