Mobile Intelligent Autonomous Systems

34	Investigating the Use of Bayesian Network and k-NN Models to Develop Behaviours for Autonomous Robots Isaac O. Osunmakinde, Chika O. Yinka-Banjo and Antoine Bagula

CONTENTS

34.1    Introduction

34.2    Some Useful Concepts and Models

34.2.1    Bayesian Network Models

34.2.2    k-NN Models

34.3    Behavioural and CAM for Robots

34.3.1    Perception of Ultrasound Sensor Data in Real Life

34.3.2    Bayesian Learning and Reasoning Process to Robot Behaviour

34.3.3    The k-NN Modelling and Reasoning Process to Robot Behaviour

34.3.4    Evaluation Scheme

34.4    Experimental Evaluations of the CAM

34.4.1    Performance Accuracy of CAM in a Static Environment Using BN and k-NN

34.4.2    Performance Accuracy of CAM in a Dynamic Environment ...