Teaching Responsibility
LJMU Schools involved in Delivery:
Engineering
Learning Methods
Lecture
Practical
Module Offerings
6313ELE-JAN-CTY
Aims
The aim of this module is to study the fundamentals of computational intelligence (CI) and their potential applications in robotics, and practise some CI-based techniques in the planning and control problems.
Module Content
Outline Syllabus:Review of CI, Autonomous Systems, Mobile Robots, Robotic Arms.
Optimisation, Searching, Heuristic Algorithms, Swarm Intelligence, Generic Algorithms, Particle Swarm Optimisation.
Modelling, Data-driven, Artificial Neural Networks, Back Propagation, Deep Networks, Fuzzy Rule-based Systems, Interpretability, Black-box systems.
Artificial Intelligence, Machine Learning, Classification, Clustering, Big Data.
Planning Algorithms, Motion Planning, Path Planning, Decision Theory, Decision Tree.
Module Overview:
The aim of this module is to study the fundamentals of computational intelligence (CI) and their potential applications in robotics, and practise some CI-based techniques in the planning and control problems.
The aim of this module is to study the fundamentals of computational intelligence (CI) and their potential applications in robotics, and practise some CI-based techniques in the planning and control problems.
Additional Information:In this module, students study the fundamentals of computational intelligence and their potential applications in robotics through both lectures and practical application.
Assessments
Centralised Exam
Practice