The purpose and objectives of this work is to develop methods for planning the trajectory of moving objects. Achieving the goals and objectives achieved by the development of the motion planner mobile autonomous robot based on fuzzy logic . With the software package Matlab simulation results obtained fuzzy scheduler works in an environment with unknown location of obstacles.

Keywords: mobile robot, vehicle, planner, fuzzy logic, behavior, coordination, algorithm

The purpose and objectives of this work is to develop methods for the design of hybrid systems manage badly formalized technical objects related to unmanned aerial vehicles such as helicopters, namely quadrocopters. The result of the article is to provide analytical information on the existing structures of hybrid controllers, the understanding of the characteristics of their design, practical use. The results differ from the more unique orientation with respect to the management of quadrocopters based on a hybrid approach.

Keywords: quadrotor; control; uncertainty; decision making; fuzzy logic; neural networks; hybrid control

The purpose and objectives of this work is to develop methods of planning the path of the mobile autonomous robots operating in environments with unknown location of obstacles. The result of the article is vague planner travel path of autonomous mobile robots for three-dimensional space (3D environments). The results differ from known analogues structure proposed planner, consisting of two interconnected parts, designed for use in horizontal and vertical planes, context-sensitive coordination method "simple" behavior of the mobile robot, a set of rules governing the method of prevention "jam" in the obstacles.

Keywords: Quad copter, management, uncertainty, decision making, fuzzy logic