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In control theory, some industrial application results were presented in [4], and the type 2 fuzzy logic controller (FLC) was applied to three domains: industrial control, mobile robot control, and ambient intelligent environment control.
Mobile robot control architectures have matured in two major directions: hierarchical and behaviour-based.
Mobile robot control education is a motivating subject due to the practical work that it involves.
The paper deals with a problem of modeling of an unknown environment by mobile robot control system.
In this paper, a mobile robot control law for wall-following based on laser and odometric sensorial information is proposed.
This chapter describes the CUDA application in the cognitive theory-based approach to multi mobile robot control.
Similar(50)
The new mathematical results are applied in order to identify contractive sets inside the stability domain found by other researchers for the motion of a mobile robot controlled by visual servoing.
Encouraging results on several traveling salesman problem instances and its application to the design of fuzzy controllers, in particular the optimization of membership functions for a unicycle mobile robot trajectory control are presented with the proposed method.
Therefore, the proposed controllers prove that they not only can guarantee the stability but also the tracking performance of the mobile manipulator robot control system.
The three crucial kinematical aspects of mobile robots (mobility, control, and positioning) are reviewed in detail for vehicles based both in conventional and in omnidirectional wheels.
The mobile robot is controlled in a teleoperated mode.
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