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In this paper, a Novel Cellular Neural Network (CNN) entitled the shortest path CNN (SP-CNN) is proposed. It has a good performance in path planning for mobile robots because of its network structure and neural dynamics. The proposed method not only can generate the best solution in static environments in real time but also generate the optional solution in dynamic environments or in unknown environments...
The paper proposed a particle filter based and Wireless Sensor Networks (WSN) aided Simultaneous Localization and Mapping (SLAM) strategy. The proposed method aims at solving two troublesome problems in the traditional particle filter based SLAM algorithms. The first problem is high dimension of question space; and the second one is multi-date association. Firstly, the paper analysed the model of...
In this paper, a newly vision-based localization method for mobile robots is presented. The cost of hardware for this localization system is very low. Based on background subtraction and optical flow tracking, the presented method overcomes the shortcoming of general background subtracting method- being sensitive to noises and interferences of other mobile objects. Besides, the presented method is...
In this paper, a neural network approach named shortest path neural networks (SP-NN) is proposed for real-time on-line path planning. Based on grid-based map and mapping this kind of map to neural networks, this proposed method is capable of generating the globally shortest path from the target position to the start position without collision with any obstacles. The dynamics of each neuron is distinctive...
The paper proposed combining traditional quadtrees and framed-quadtrees with the shunting equation based neural network model to improve the efficiency of path planning. The introduction of quadtrees is used for improving the efficiency of the trajectory generation and enlarging the representation capability of maps, especially in sparse environments. And the introduction of framed-quadtree is used...
A map building method based on wireless sensor networks (WSNs) is presented in this paper which applies the technology of WSNs to the field of mobile robots. In our scheme, a series of factors blocking the mobile robot are considered carefully and besides, multiple information is employed to develop the practicability of maps. The general used gird map is provided through our method. Extensive simulations...
It's a new and good method to apply wireless sensor networks on robot navigation. We proposed an environment map free navigation for robot based on wireless sensor networks. In this system, the robot did not need to obtain the environment map and can get online navigation. The wireless sensor nodes collected environment and position information and made distributed information fusing to give a path...
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