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Algorithms - Embedded Intelligent Robotics - Lecture Slides, Slides of Robotics

National Institute of Industrial Engineering Robotics

This course is about robots intelligence. As course progress, interest in course raises. Keywords of the lecture are: Algorithms, Inspired, Evolution, Chromosome, Evaluation, Generic Optimization Techniques, Many Applications, Fuzzy Logic Primer, Current Level and Further, Development

Typology: Slides

2012/2013

Uploaded on 03/17/2013

salman 🇮🇳

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Genetic algorithms and

evolutionary programming

•Inspired by the Darwin’s theory of

evolution

•A solution is represented as an instance,

a “chromosome”.

•Evaluation (fitness) function is

required

•Generic optimization techniques.

•Many applications

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Discover Slides of Robotics National Institute of Industrial Engineering

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Download Algorithms - Embedded Intelligent Robotics - Lecture Slides and more Slides Robotics in PDF only on Docsity!

Genetic algorithms and

evolutionary programming

evolutionInspired by the Darwin’s theory of

a “chromosome”.A solution is represented as an instance,

requiredEvaluation (fitness) function is

Generic optimization techniques.

Many applications

Industrial Application of FuzzyIndustrial Application of Fuzzy Logic ControlLogic Control

Fuzzy Logic Primer

the U.S., Japan, and EuropeDevelopment of Fuzzy Logic Technologies in^ History, Current Level and Further

Uncertainty^ Types of Uncertainty and the Modeling of

(^) The Basic Elements of a Fuzzy Logic System

(^) Types of Fuzzy Logic Controllers

Types of Uncertainty and the

Modeling of Uncertainty

Stochastic Uncertainty:

The Probability of Hitting the Target Is 0.

Lexical Uncertainty:

"Tall Men", "Hot Days", or "Stable Currencies"

We Will Probably Have a Successful Business Year.

Occur. However, Expert C Is Convinced This Is Not True.The Experience of Expert A Shows That B Is Likely to

[email protected] University of OtagoNikola Kasabov Department of InformationKNOWLEDGE-BASED SOCIETY Prof.INTELLIGENT SYSTEMS FOR AUniversity of Otago, September 22, 1999

The World of Information:

Information and knowledge

Data, information and knowledge

The “macro” world of information:

medical and health information

business and economic information

geographic information

etc.

The “micro” world of information:

the brain

genetic information

quantum information

Exponential information increase with time

challenge for a KB society.Transforming information into knowledge, managing and utilizing it is the major

Information Science

processing regardless of the domain area.systems for information and knowledgeThe area of science that develops methods and

The Information Science subject areas

The emergence of Information Sciences

Technologies.Information Sciences versus Information

Information AND Computer Science.

Artificial Intelligence (AI)

computing’the human brain works - ‘brain-likeSome AI methods are inspired by the way

methods and principlesAI also develops and applies its own

approachesOften AI methods combine the two

Symbolic AI systems

4th century BC)Logic systems, e.g. propositional logic (Aristotle,

Rule-based systems that use IF-THEN rules

Expert systems

true and false.mechanisms but they only use two categories:Rule-based systems are universal computational

Fuzzy Sets, Statements, and RulesFuzzy Sets, Statements, and Rules

the universe of objects.A crisp set is simply a collection of objects taken from

“tall”.Fuzzy refers to linguistic uncertainty, like the word

and grade 40% in the set “medium”.than one set (e.g. 6’ 0”) has grade 70% in the set “tall”Fuzzy sets allow objects to have membership in more

greater than 3 and less than 8.)variable with an expression (e.g. Pick a real numberA fuzzy statement describes the grade of a fuzzy

Fuzzy Logic ControlFuzzy Logic Control

Fuzzy controller design consist of turning

how to control a system, into set of rules.intuitions, and any other information about

These rules can then be applied to the

system.

If the rules adequately control the system,

the design work is done.

If the rules are inadequate, the way they fail

provides information to change the rules.

Basic Elements of a Fuzzy Logic SystemBasic Elements of a Fuzzy Logic System ship container Crain head troller Container Crane Case Study:Container Crane Case Study:

Fuzzy Set DefinitionsFuzzy Set Definitions

Basic Elements of a Fuzzy Logic SystemBasic Elements of a Fuzzy Logic System

Fuzzification, Fuzzy Inference, Defuzzification

Basic Elements of a Fuzzy Logic SystemBasic Elements of a Fuzzy Logic System

Control Loop of the Fuzzy Logic Controlled

Algorithms - Embedded Intelligent Robotics - Lecture Slides, Slides of Robotics

Related documents

Partial preview of the text

Download Algorithms - Embedded Intelligent Robotics - Lecture Slides and more Slides Robotics in PDF only on Docsity!

Genetic algorithms and

evolutionary programming

evolutionInspired by the Darwin’s theory of

a “chromosome”.A solution is represented as an instance,

requiredEvaluation (fitness) function is

Generic optimization techniques.

Many applications

Types of Uncertainty and the

Modeling of Uncertainty

Stochastic Uncertainty:

"Tall Men", "Hot Days", or "Stable Currencies"

We Will Probably Have a Successful Business Year.

The World of Information:

Information and knowledge

Data, information and knowledge

The “macro” world of information:

medical and health information

business and economic information

geographic information

etc.

The “micro” world of information:

the brain

genetic information

quantum information

Exponential information increase with time

Information Science

processing regardless of the domain area.systems for information and knowledgeThe area of science that develops methods and

The Information Science subject areas

The emergence of Information Sciences

Technologies.Information Sciences versus Information

Artificial Intelligence (AI)

Symbolic AI systems

4th century BC)Logic systems, e.g. propositional logic (Aristotle,

Rule-based systems that use IF-THEN rules

Expert systems

Fuzzy Sets, Statements, and RulesFuzzy Sets, Statements, and Rules

Fuzzy Logic ControlFuzzy Logic Control

how to control a system, into set of rules.intuitions, and any other information about

system.

the design work is done.

provides information to change the rules.

Fuzzy Set DefinitionsFuzzy Set Definitions

Container Crane: