02-04-2010, 11:57 AM
Abstract: This paper deals with a path planning and intelligent control of an autonomous robot which should move safely in partially structured environment. This environment may involve any number of obstacles of arbitrary shape and size; some of them are allowed to move. We describe our approach to solving the motion-planning problem in
Mobile robot control using neural networks-based technique. The method of the construction of a collision-free path for moving robot among obstacles is based on two neural networks. The first neural network is used to determine the free space using ultrasound range finder data. The second neural network finds a safe direction for the next robot section of the path in the workspace while avoiding the nearest obstacles. Simulation examples of generated path with proposed techniques will be presented.
Keywords: Mobile Robot, Neural Network, Ultrasound Range Finder, Path Planning, Navigation.
Mobile robot control using neural networks-based technique. The method of the construction of a collision-free path for moving robot among obstacles is based on two neural networks. The first neural network is used to determine the free space using ultrasound range finder data. The second neural network finds a safe direction for the next robot section of the path in the workspace while avoiding the nearest obstacles. Simulation examples of generated path with proposed techniques will be presented.
Keywords: Mobile Robot, Neural Network, Ultrasound Range Finder, Path Planning, Navigation.