Research on Path Planning Algorithm of Intelligent Wheeled Robot Based on ROS

Aiming at some limitations of the A-star algorithm, the algorithm is improved and optimized, robot path planning experiment is carried out. In the traditional A-star algorithm, there are too many turning points of the path and the path is not smooth enough, the car deviates from the path when navigating due to the arc at the corner is too large. This paper combines the conjugate gradient and Gaussian process principle to optimize the A-star algorithm and eliminate the invalid path information to jump points, to implement a path with less angle and smoother. The results show that the hybrid algorithm has a shorter and smoother path than the A-star algorithm.