The present invention provides a method for constructing a regular hexagonal grid model map for intelligent
robot path planning, comprising: dividing a plane area within a
visual range into a plurality of seamlessly connected, non-overlapping regular hexagonal blank basic grids according to a preset
grid size combined with map data; obtaining
point cloud data of each blank basic grid, assigning
terrain features,
cell attributes and grid edge attributes to each blank basic grid in combination with map data to obtain a basic grid, forming a grid model covering the plane area, determining the coordinates of the
robot and the
laser point in the grid model, calculating the probability estimate of the basic grid where the
laser point is located, and determining whether the grid is in an occupied state or an idle state; updating the state of other basic grids between the basic grid where the
robot is located and the basic grid where the
laser point is located; and incrementally constructing a grid model of the environment according to the state of each basic grid. The map obtained by this method can be applied to map construction and path planning of
intelligent robots.