Use of neural networks in an undergraduate robotics course

Abstract

Within the Systems Engineering major at the US Naval Academy, the two-course robotics sequence introduces students to basic robotics terminology, geometry, components, and kinematics, as well as to machine vision and simple pattern recognition. The use of artificial neural networks in this course is discussed. The teachers stress the fundamentals of neural network theory and practice and try to give students some insight into problems that may arise. Particular attention is given to feedforward neural networks as functional mappings, neural network pruning, and neural network software for the laboratory.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>