… motion-planning problem in mobile robot control using neural networks-based technique. …
for moving robot among obstacles is based on two neural networks. The first neural network is …

… mobile robots. Racz and Dubrawski [10] presented a neural network-based approach for
mobile robot … Yang and Meng [11] proposed a biologically inspired neural network approach for …

… inspired neural network approach for real-time collision-free motion planning of mobile robots
in a real world dynamic environment. The first requirements of the mobile robot is tracking …

… field of mobile robot … neural networks to mobile robot navigation. The rest of this paper is
organized as follows: The methods of neural networks and hybrid approaches for mobile robot …

… Abstract, This article presents an artificial neural network (ANN) structure applied to control
a mobile robot movement in dynamically changing environments (environments wirh mobile …

… to control of rigid robot manipulators, flexible-link robotic systems and position/force control.
In this paper, we present an application of this NN controller to a mobile robot system. Due to …

… The results demonstrate the appealing properties of the neural network based navigation
method proposed in this paper, in that the mobile robot could arrive at the destination without …

… of robots in environments that contain both static and dynamic obstacles. The purpose of this
research is to provide mobile robots … Q-learning and a neural network planner to solve path …

… neural network architecture that serves as the basis for the connectionist mobile robot
guidance system I develop called ALVINN (Autonomous Land Vehicle In a Neural Network). …

… offline neural network training is used. In contrast to other adaptive techniques hitherto proposed
in the literature on mobile robots… problem of a differentially driven wheeled mobile robot. …