Cognition in robotics refers to acquiring knowledge and understanding through thoughts, experiences, and senses. There are three main learning techniques in cognitive robotics: motor babbling, where robots correlate random movements with sensory feedback to learn patterns; imitation, where robots monitor and mimic the actions of other agents; and knowledge acquisition, a more complex approach that involves breaking sensory input into categories and using prediction systems like neural networks to learn.

1. COGNITION IN
ROBOTICS

2. What’s COGNITION
“COGNITION” is a noun
word.
“It is process of acquiring
knowledge and
understanding through
thoughts, experiences and
senses

3. What’s COGNITION in ROBOTICS
COGNITION COGNITION IN ROBOTICS

4. Learning Techniques in
COGNITIVE ROBOTICS
A. Motor babble
B. Imitation
C. Knowledge Acquisition

5. A. Motor Babble
The motor babbling learning technique
involves correlating pseudo-random complex
motor movements by the robot with resulting
visual and/or auditory feedback such that the
robot may begin to expect a pattern of
sensory feedback given a pattern of motor
output
This is thought to be analogous to how a baby
learns to reach for objects or learns to
produce speech sounds.

7. B. Imitation
In this learning technique The robot monitors
the performance of another agent and then
the robot tries to imitate that agent. It is often
a challenge to transform imitation
information from a complex scene into a
desired motor result for the robot. Note that
imitation is a high-level form of cognitive
behavior and imitation is not necessarily
required in a basic model of embodied animal
cognition.

9. C. Knowledge Acquisition
In knowledge acquisition A more complex
learning approach is "autonomous knowledge
acquisition":
A somewhat more directed mode of
exploration can be achieved by "curiosity"
algorithms These algorithms generally
involve breaking sensory input into a finite
number of categories and assigning some sort
of prediction system (such as an Artificial
Neural Network) to each.

10. ThankYou