Research Of Positioning Model And Path Planning During The Maze Solving By NAO Humanoid Multi-robots

In recent years, a great progress has been made in the field of mobile robotics. The research subject of low cost multi-robots which is high efficient has been paid extensive close attention.Positioning and path planning is a critical topic for robot and collaboration working and multi-robotics systems. This researching thesis is about localization, path planning and maze solving based on NAO multi-robots platform. According to the characteristic information of the captured images and environment identification using suitable images. In the way of processing methods and positioning model, the robot can get the position of environment identification by NAO robotic coordinate system. And in the following it can verify the feasibility of path planning methods by positioning experiments.The main task for the swarm robots in terms of misinformation is based on the construction a general map of the maze to find a way to go out from the maze. The goal is to establish a communication system by which robots can exchange information with surrounding environment in real-time. Based on the obtained information, by created algorithms the robots can decide what to do in next step for maze solving. Moreover, it is possible that the robots managing effectively and sharing decision-making orders based on obtained information. Based on the results of the research, a formula has been developed that calculates the dependence of the effectiveness of the maze solving on the number of robots in it.