  Entrapment detection is a prerequisite for planetary rovers to perform
autonomous rescue procedure. In this study, rover entrapment and approximated
entrapment criteria are formally defined. Entrapment detection using Naive
Bayes classifiers is proposed and discussed along with results from experiments
where the Naive Bayes entrapment detector is applied to AutoKralwer rovers. And
final conclusions and further discussions are presented in the final section.

Robotics;Machine Learning