Robot navigation and target capturing using nature-inspired approaches in a dynamic environment

摘要: Path Planning and target searching in a three-dimensional environment is challenging task the field of robotics. It an optimization problem as path from source to destination has be optimal. This paper aims generate collision-free trajectory dynamic environment. The planning sought extreme importance military, search rescue missions life-saving tasks. During its operation, unmanned air vehicle operates hostile environment, faster replanning needed reach optimally possible. presents novel approach hierarchical using multiresolution abstract levels for replanning. Economic constraints like length, total time number turns are taken into consideration that mandate use cost functions. Experimental results show version GSO gives better performance compared BBO, IWO their versions.