Emerging trend robotics using neural network

1. By
S. Deva johnson
P.Vengadesh

2. What is Robot?
mechanical or virtual artificial agent
electromechanical machine
guided by a computer program
 It is a type of an embedded system.

3. Why it needed?
 eliminate a human operator.
 save labor
 Other classes of applications concern the
product:
 Human is bad for the product
 Product is bad for the human

4. ADVANTAGE
2. Working at places 24/7 without any salary
and food. Plus they don't get bored
3.They can perform tasks faster than humans
and much more accurately
4. Most of them are automatic so they can go
around by themselves without any human
interference

5. Laws of Robotics
1. A robot may not injure a human being
2. A robot must obey the orders given it
by human beings
3. A robot must protect its own existence
as long as such protection

6. Applications of Robotics.
 Military Services
 Car Production
 Space Exploration
 Underwater Exploration

7. What is Neural Network?
 It is a computational model
 Inspired by the structure or function of
biological neural networks.
 Neural network refers to the interconnections
between the neurons in the different layers of
each system.
 It has three layers.

9. ADVANTAGE OF NEURAL NETWORK
 They provide a straightforward mapping
between sensors and motors
 They can provide a biologically plausible
metaphor
 The neural network is suitable for some
specific k task capable of analysing data
spread over a time

10. Robotic in neural network

11. Introduction
 An important area of application of neural
networks is in the field of robotics.
 networks are designed to direct a manipulator,
which is the most important form of the
industrial robot based on sensor data.
 Another applications include the steering and
path-planning of autonomous robot vehicles.

12. Robotic in neural network
 Neural Networks are well known for doing amazing
things.
 Neural Networks in Robotics is an integrated view
of both the artificial neural networks and
neuromuscular models
 Neural Networks in Robotics provides an
indispensable reference to the work of major
researchers in the field.
 Robotics is an outstanding application area for
artificial neural networks
 Neural Networks in Robotics is equally important to
workers

13. Some Emerging Technologies
1. Robotics 2.0
2. Intelligent nanobots
3. Robot to perform actions of service dogs
4. Space robotics

14. Robotics 2.0

15. Robotics 2.0
 A new generation of robotics
 Takes machines away from just automating
the most Manual process
 We’ve seen robots that can walk like an ape
and run like a cheetah, robots that can mix a
perfect martini, help the disabled, or drive
you to the store. Robots could replace
soldiers on the battlefield.

16. Intelligent nanobots

17. Intelligent nanobots
 It provide medical supports in an emergency
and dangerous situation for humans
 Ambulance drones that can deliver vital
medical supplies and “on screen” instructions.
Drones with mounted camera to “learn”
about surroundings – with no information
about the environment

18. ROBOT TO PERFORM ACTIONS OF
SERVICE DOGS

19. Robot to perform actions of
service dogs
 SResearchers at GeorgiaTech have built a
biologically inspired robot to perform actions
of service dogs
 Users issue verbal commands to robot, and
indicate object with laser pointer.
 Eg. Fetching items, or closing doors or
drawers.
 Worked with trainers of dogs

20. Space robotics

21. Space robotics
 It will help astronauts on a journey to Mars.
 NASA Prepare this Robots for Life on Mars
 It reduce communications delay from Earth
to Mars
 This technology could also benefit
humankind on Earth
 So the human can work from our home
planet

22. Conclusion
 Finally we will conclude An important area of
application of neural networks is in the field of
robotics

23. Thank You