Ppt on robotic

Presentation

on

Robotics Control

with with

Fuzzy Logics

1

BY : - ANIL MAURYA

ELECTRICL & ELECTRONICS ENGINEER

Fuzzy Logics� Lotfi A. Zadeh, a professor of UC Berkeley in California, soon

to be known as the founder of fuzzy logic.

� Fuzzy logic has rapidly become one of the most successful of today's technologies for developing sophisticated control systems.systems.

� Fuzzy logic is a superset of Boolean logic that has been extended to handle the concept of partial truth- truth values between "completely true" and "completely false".

� Fuzzy logic can be implemented in hardware, software or a combination of both.

2ANIL MAURYA ELECTRICL & ELECTRONICS ENGINEER

Fuzzy Set and Membership

Functions

Crisp Membership Function Fuzzy Membership Function

3

Crisp Membership Function

Trapezoidal Membership Function

π- shaped membership functionsGaussian Membership Function

ANIL MAURYA ELECTRICL & ELECTRONICS ENGINEER

Fuzzy Logic Control

4

Input_1Fuzzy

IF-THEN

RulesOutputInput_2

Input_3


Robotics

� A robot is a machine that looks and acts like a human being.

� Robots are defined as man-made mechanical devices that canmove by themselves, whose motion must be modeled, planned,sensed,actuatedand controlled, and whosemotion behaviorsensed,actuatedand controlled, and whosemotion behaviorcan be influenced by “programming”.

� Joseph F. Engelberger is known as the ‘Father of Robotics’� After the technology explosion during World War II, in 1956,

George C. Devol, Norman Schafler and Joseph F. Engelberger made a serious and commercial effort to produce a robot and the name of the first robot is “Unimate”.

5ANIL MAURYAELECTRICL & ELECTRONICS ENGINEER

Types of Robots

Mobile Robots Industrial Robots

6

Mobile Robots Industrial Robots

Autonomous Robots

Remote Control Robots

Virtual Robots


Motion of Robot


Operation of Robot


Action Behavior Control


Obstacle Avoidance and Decelerating at Curved and Narrow Roads


Target Steer


Following Edge


Summery

In this project, we use fuzzy logic to realize the reactivebehaviors for robot navigation. The method caneffectively coordinate conflicts and competitionsamong multiple reactive behaviors by weighting themand this coordination ability is nearly independent of aand this coordination ability is nearly independent of adynamic environment due to it robustness.


THANK YOU

14

THANK YOU


Ppt on robotic

Engineering

Transcript of Ppt on robotic