Global Dynamic Path Planning Fusion Algorithm Combining Jump-A* Algorithm and Dynamic Window Approach

In order to meet the performance requirements of global optimality and path smoothness in robot planning, a new fusion algorithm jump-A* dynamic window approach is proposed. First, A* optimized by using jump point search method distance evaluation function defined Manhattan Euclidean obtain information. Then take as core integrating information safely plan optimal with high smoothness. The experimental results show that proposed this paper can not only effectively solve problem non-continuous curvature excessive turning angle at points planned algorithm, but also improve optimality. This research beneficial motion control robots has certain reference for navigation.