Recently, the prevalence of multi-variety and small-batch production mode has brought great challenges to the warehousing of the manufacturing industry. How to improve the efficiency of warehouse picking is an urgent problem to be solved. Therefore, domestic and foreign scholars have proposed a variety of classification and research methods for the problem of warehouse picking path. Through systematic review of relevant literature, this paper summarizes warehouse picking path problems from two perspectives. Firstly, from the perspective of picking operation types, the research problems are divided into single operation and compound operation, and the research status and existing problems of warehouse picking path problems are analyzed. Secondly, from the perspective of research methods, the solving methods are divided into heuristic algorithm and reinforcement learning, and the application of the two methods in warehouse picking path problem in recent years is analyzed. Finally, the existing literature is summarized, and the future development direction of warehouse selection path problem is proposed.