This paper develops and analyses the performances evaluation of different control strategies applied for a nonlinear motion of a ball on a beam system. Comparison results provide in-depth comprehension on the stable ability of different controllers for this real mechanical application. The three different controllers are a conventional PID method, a Mamdani-type fuzzy rule method and a Sugeno-type fuzzy rule method. In this study, the PID shows the fastest sinuous reference tracking while the Mamdani-type fuzzy method proves the highest stability performance for tracking square wave motions.

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The paper presents a method of terrain classification and path planning for unmanned ground vehicles. The terrain classification is done on imagery that is acquired from UAV (unmanned aerial vehicle) or satellite and is used for UGV (unmanned ground vehicle) path planning thus introducing collaboration capabilities to the system of two. The system complements the UGV on-board navigation system by increasing its perception distance and providing longrange path planning capability.

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