This invention provides a
multimodal transport path
planning method and a dedicated sorting
robot based on a medium-to-large cargo sorting
robot. The method includes: identifying the center of gravity offset and rotational
inertia tensor of the target medium-to-large cargo based on detected data to construct a three-dimensional overturning risk field with the
robot's
center of mass as the origin; mapping the three-dimensional overturning risk field to the interior of a three-dimensional
multimodal transport spatiotemporal network, and assigning corresponding
safety margin values to each spatiotemporal node by combining the equipment parameters, communication
time windows, and dynamic load states of each transport node; using a spatiotemporal A*
algorithm for
path search, and retaining only spatiotemporal nodes with
safety margin values greater than a preset margin threshold as path nodes during the search process; and performing three-dimensional integration
processing on each path node to generate a
multimodal transport path adapted to the target medium-to-large cargo. This invention can significantly improve path planning efficiency.