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Mobile robot is one of the most active areas of scientific and technological development. It is widely used not only in industry, agriculture and medical care, but also in urban security, national defense and space exploration. To realize the autonomous operation of intelligent mobile robots in an unknown environment, with real-time, autonomous, identification of high-risk areas and risk management capabilities, robot path planning is an important link, The level of path planning indicates the level of intelligence of robots to a certain extent. Therefore, researching robot path planning technology is of great significance to improve the intelligence level of robots and accelerate the process of engineering application. It is summarized and analyzed that the research methods of robot path are planning from the perspective of global path planning and local path planning in the paper. At the same time, path planning techniques based on bionics genetic algorithm, ant colony algorithm and particle swarm algorithm are introduced. Finally, the future development trend of mobile robot path planning is forecasted.