Path Planning of Mobile Robots by Using Cellular Neural Networks

摘要

The paper presents some vision-based algorithms for mobile robots guidance in an environment with obstacles. Cellular neural networks (CNNs) processing techniques are used here for real time motion planning to reach a fixed target. The CNN methods are considered an advantageous solution for image processing in autonomous mobile robots guidance