Cloud robotics leverages cloud computing to enhance robotic capabilities by offloading processing tasks, allowing for smarter, lighter robots with easier maintenance. By utilizing cloud resources, robots can perform complex functions like speech recognition and mapping more efficiently, although challenges like network dependency and latency exist. Despite its infancy, cloud robotics holds significant potential for the future of robotic applications.

1. Cloud Robotics : It’s time
to offload their brain on
Cloud, for better
Robotic future!

3. Cloud robotics is an emerging field of robotics ingrained in
cloud computing. It allows robots to benefit from the
powerful computational, storage, and communications
resources of modern data centers. When computational
or storage demands exceed the on-board capacity of a
robot, they are offloaded to the cloud, where the massive
resources of a datacenter can supplement their limited
local resources.

4. Background

5. ✘Cloud-enabled robots could offload CPU-heavy tasks to remote
servers, relying on smaller and less power-hungry onboard
computers.
✘Using the cloud, a robot could improve capabilities such as speech
recognition, language translation, path planning, and 3D mapping.

6. Advantages of using
cloud computing in
Robotics

7. Cloud based robotics
provides shared
knowledge, database
on real time. This makes
robots smarter.
Cloud robotics can
transfer heavy
computer task to the
cloud. This leads to
cheaper lighter and
easy hardware
maintenance. Hardware
and software updates
can be in real time
without losing the data.
Any old robot which is
full on rust and dust can
be reuse properly by
using hardware and
software of cloud
infrastructure

8. There are some
drawbacks of clouds
robotics as well

9. Sometimes there are
difficulties in controlling
robots motion as it
depends on sensors,
feedback of controllers
and internet
connections.
Many a times cloud
based applications can
get slow due to high
latency responses or
network problem. If
robot is totally
dependent on cloud a
small fault in network
can leave the robot
brainless.
It can be hacked easily
as real time execution is
required for the same.

10. Examples of Cloud
robotics project

11. “ASORO labs :
Researchers at Singapore ASORO labs have
built a cloud computing infrastructure to
generate 3D model of environment which
allows robots to perform simultaneous
localization and mapping. This process is
much faster than their computers

12. “LAAS :
Here scientist are developing robotic
objective database for robots to simplify the
manipulation task like simple process of
opening doors. So in short they are trying to
develop software with the help of cloud
computing which makes complex task as
simple as user manual for robots.

13. “Gostai :
This French robotic firm has developed a
cloud based robotic infrastructure known as
GostaiNet which allows robots to perform
speech recognition , face detection and other
task remotely. Gostai’s robot uses the cloud
for video recording and voice synthesis.

14. “Google:
Google’s self-driving cars are one type of
cloud-connected robot. The autonomous
cars access data from Google Maps and
images stored in the cloud to recognize their
surroundings. They also gather information
about road and traffic conditions and send
that information back to the cloud.

15. “Cloud Robotics is still very new and has to undergo a
long series of designing and developing. There are
many problems to deal with before it goes to
mainstream. But it has a real thought provoking
potential that inspires the mind on what it does and
what it can do in future.

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17. So lets offload
their brains on
cloud for better
robotic future!