Subject Details
Dept     : MECHATRONICS
Sem      : 6
Regul    : 2019
Faculty : J.Swathi
phone  : NIL
E-mail  : swathi.j.mct@snsct.org
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Lecture Notes

UNIT 1:
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Introduction to AI: Production Systems, Control Strategies, and Search Strategies
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Problem Characteristics of Artificial Intelligence for Robotics
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The Future of Artificial Intelligence (AI)
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Characteristics of Intelligent Agents
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Typical Intelligent Agents
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Production System Characteristics in Artificial Intelligence
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Hill Climbing Algorithm in Artificial Intelligence
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Specialized Production Systems in Artificial Intelligence
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Matching, Indexing, and Heuristic Functions in Artificial Intelligence
UNIT 2:
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Basic of fuzzy logic theory
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Crisp and Fuzzy Sets: Basic Concepts and Set Operation
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ANFIS architecture
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Fuzzy if-then rules – Fuzzy reasoning
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Neuro-Fuzzy Modeling: Adaptive Neuro-Fuzzy Inference System (ANFIS)
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Hybrid Learning Algorithm
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Composition of fuzzy relations
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Basic set operation like union - interaction - complement
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T-norm - T- conorm
UNIT 3:
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Back Propagation Network
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Generalized delta rule
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Interpolation and approximation RBFNS
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Radial Basis Function Network
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Radial Basis Function Network
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Comparison between RBFN and BPN
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Support Vector Machines: Optimal hyperplane for linearly separable patterns
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Optimal hyperplane for non-linearly separable patterns
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Inverse Modeling
UNIT 4:
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Introduction to localization
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Noise and aliasing
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Localization-based navigation
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Belief representation
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Map representation
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Probabilistic map based localization
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Autonomous map building
UNIT 5:
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ROBOT Expert systems
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Information Retrieval- Information Extraction
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Natural Language Processing
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Machine Translation
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Speech Recognition
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Robot – Hardware – Perception – Planning – Moving
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Roles of Robot expert system
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ROBOT Expert systems
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Architecture of Robot expert systems