The invention discloses a
mobile robot path
planning method based on an improvement of an
ant colony
algorithm and
particle swarm optimization. The method mainly solves the problems that in the prior art, the
operating speed of an
algorithm is low, and frequency of turning of an optimized path is high. The
planning method includes the steps that modeling is carried out on a work environment of a
robot; the
particle swarm optimization is utilized to quickly carry out path planning, pheromones more than those around an obtained path are scattered on the obtained path, and guiding is provided for an
ant colony; an
ant colony
algorithm optimized by the principle of
inertia is adopted, and optimization is conducted on the basis of the
particle swarm optimization; the motion path of the
robot is output according to an optimization result. According to the
planning method, comprehensive consideration is given to stability and robustness of the algorithm, iterations can be effectively reduced, searching efficiency is improved, the
path length is shortened, the frequency of turning is reduced, path quality is substantially improved, and the planning method accords with an artificial planning intention and is suitable for autonomous navigation of various mobile robots in a static environment.