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Course Detail

Course Name Advanced AI for Robotics
Course Code 25MT644
Program M. Tech. in Mechatronics
Credits 3
Campus Amritapuri

Syllabus

Problem solving: Graph based search, Algorithms for searching, Heuristic search, Robot path planning. Knowledge representation: Descriptive representation, Procedural representation, Rule based representation, Semantic networks, Frames, Ontologies, Knowledge based systems. Expert systems. Artificial neural networks: Perceptron, Learning, Associative memories, Self -organized networks, Applications of neural networks in robotics. Fuzzy logic systems: Fuzzy logic, Fuzzy reasoning, Fuzzy logic-based techniques, Fuzzy relations, Fuzzy control, implementing fuzzy controllers, Fuzzy decision making. Genetic algorithms: Principles, Working, Design, Applications in robotics.

Objectives and Outcomes

Learning Objectives

LO1: To understand AI-based search and planning algorithms for robotic problem
           solving.

LO2: To learn knowledge representation techniques and expert system design for
           intelligent robots.

LO3: To explore neural networks, fuzzy logic, and genetic algorithms in robotic
           applications.

LO4: To apply AI paradigms to real-time decision-making and control in robotic systems.

 

Course Outcomes

CO1: Implement and analyze graph-based and heuristic search algorithms for robotic path
           planning.

CO2: Represent knowledge using semantic networks, rules, frames, and ontologies for robotic
           reasoning.

CO3: Design expert systems for intelligent decision-making in robotic applications.

CO4: Apply neural networks and fuzzy logic to model learning, perception, and control in
           robotics.

CO5: Design and evaluate evolutionary algorithms such as genetic algorithms for robotic
           system optimization.

 

CO-PO Mapping

CO/PO

 PO1

 PO2

 PO3

 PO4

 PO5

 CO1

 2

 –

 –

 –

 2

 CO2

 3

 –

 2

 2

 2

 CO3

 3

 2

 2

 3

 2

 CO4

 3

 2

 2

 3

 3

 CO5

 3

 1

 3

 2

 3

Text Books / References

Textbooks/References:

  1. Russell, S.J. and Norvig, P., “Artificial Intelligence – A Modern Approach”, Prentice Hall, 2003.
  2. Negnewitsky, , “A Guide to Intelligent Systems”, Addison-Wesley, 2005.
  3. Inger, G.F., “Artificial Intelligence: Structures and Strategies for Complex Problem Solving”, Addison-Wesley, 2005.
  4. Nilsson, J., “Artificial Intelligence: A New Synthesis”, Morgan-Kaufmann, 1998.

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