Path planning of autonomous mobile robots in a clutter environment using hybrid evolutionary techniques

Abstract

newline Research and development on mobile robots have brought the attention of scientists and researchers have a high potential in various applications. In Intelligent Automation and Robotics, there is detail discussion about the principle of artificial intelligence underlies and initiates with computational intelligence. So the machines think like human beings and way of representing like them because of Artificial Intelligence matches human intelligence on machines. The most important cultivating arena of behavioural robotics includes multi-robot path planning. newlineThe aim of the work confined to the path planning strategies of multiple mobile robots in clutter surroundings. Many classical and heuristic based path planning techniques have been developed, but these techniques have some weakness such as large computational complexity, applicable only for known environment, suitable for known applications etc. many researchers to evolutionary based problem solving are paying attention. Evolutionary robotics based path planning are generalized for any dynamic environment problems because many natural evolution techniques are mimic into programming like particle swarm optimization, genetic algorithm, differential evaluation, weed colony optimization etc. Sometimes, these techniques suffer from premature convergence in the evolutionary process while dealing with complex problems such as