Abstract：Deep learning for librarians NULL issue on the ESAI and RobotAlsoit introduces the potential of libraries to use intelligent systemsespecially ESAI and robotsDesignmethodologyapproachDescriptive and content review methods are appliedand the researchers critically reviewed the articles related to library Ess and robots from Web of Science as a general database and Emerald as a specific database in library and information science from 20072017Four scopes considered to classify the articles as technologyserviceuser and resourceIt is found that published researches on the intelligent systems have contributed to many librarian purposes like library technical services like the organization of information resourcesstorage and retrieval of information resourceslibrary public services as reference servicesinformation desk and other purposesFindingsA review of the previous studies shows that Ess are a useable intelligent system in library and information science that mimic librarian experts behaviors to support decision making and managementAlsoit is shown that the current information systems have a high potential to be improved by integration with AI technologiesIn this researcheslibrarian robots mostly designed for detection and replacing books on the shelfImproving the technology of grippinglocalizing and human-robot interaction are the main concern in recent librarian robot researchOur conclusion is that we need to develop research in the area of smart resourcesOriginalityvalueThis study has a new approach to the literature review in this areaWe compared the published papers in the field of ESAI and robot and library from two databasesgeneral and specific Retrieval and IndexingDL and AI technology can be used to improve the search and retrieval function of library systemsThey can develop more intelligent search algorithmsand it is easier for users to find the required informationThis article mainly discusses deep learning technology and its application in different fieldsespecially the challenges and advantages when processing a lot of data and informationThe article discusses how deep learning is applied to processing complex information and discussed the relevant concepts of machine learning and deep learning