April 2016
Intermediate to advanced
832 pages
29h 36m
English
Content preview from Mobile Intelligent Autonomous Systems
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34 |
Investigating the Use of Bayesian Network and k-NN Models to Develop Behaviours for Autonomous RobotsIsaac O. Osunmakinde, Chika O. Yinka-Banjo and Antoine Bagula |
CONTENTS
34.2 Some Useful Concepts and Models
34.2.1 Bayesian Network 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
34.4 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 ...
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