The invention discloses a
robot navigation method and
system based on an MCP architecture. The method comprises the following steps: firstly, receiving a user instruction through voice recognition, and analyzing the instruction into an MCP request instruction by adopting a large
language model; secondly, generating an optimized path on the static map based on an improved A *
algorithm; a dynamic cost map is constructed through real-time
point cloud data, a double-layer
fusion mechanism of a global buffer map and a local cost map is innovatively adopted, double-rate attenuation is introduced to realize
intelligent management of obstacle information, and the problems of
jitter and
ghosting of dynamic obstacle
perception are effectively solved; and finally, a navigation instruction is executed based on an MCP protocol, and dynamic
obstacle avoidance and accurate
path tracking are realized in combination with a three-level re-planning mechanism. According to the invention, an MCP protocol is deeply integrated, full-process
automation from
voice analysis, path planning to motion execution is realized through a standardized instruction
system, and the interaction intelligence and navigation reliability of the navigation
robot in complex environments such as an exhibition hall are remarkably improved.