Abstract：RobotsArtificial Intelligenceand Service Automation to the CoreRemastering Experiences at Museums PurposeIn the experience economythe main challenge for museums is not only to attract visitors but also to preserve artworksGiven this circumstancethis chapter aims to offer an overview of how these cultural organisations have emerged as labs of the future culturewhere all kind of technological experiments are tested so as to fulfil their missionDesignmethodologyapproachThis chapter is based on extensive literature review on issues related to robotsartificial intelligence and service automationRAISAin the museum sectorExamples illustrate the role of technology in the experience design and preservation of cultural resourcesFindings1A chronological framework of museumsorientations is established to understand the evolution toward the technology-driven present period2Robotsartificial intelligence and service automation have a meaningful contribution to make in guaranteeing visitor arrivals3This technological phase requires a tourism workforce with new skillsResearch limitationsimplicationsFew academic studies concerning to the use of robotsartificial intelligence and service automation in the museum sector were foundHencemore empirical studies are required to completely corroborate the chapters suggestionsPractical implicationsAn enlightening path for the service design of multisensory and participatory is proposedas a useful guide for heritage managersmarketing practitioners and tourism plannersOriginalityvalueMuseum management has been always receiving the attention of managerspolicymakersscholarsamong othersInsights of how technology enhances heritage preservation and the improvement of museum services throughout numerous examples can direct them to increase knowledge and adopt these practicesLibrary AutomationFor exampleautomated borrowing and repayment systemConsulting ServiceUse AI to query and assistRetrieval and IndexingUse AI to improve search and retrieval functionThis article focuses on how the museum conducts technical experimentsespecially using robotsartificial intelligence and service automationRAISAto attract visitors and protect cultural resourcesThese technologies may involve machine learning and deep learning to identify and analyze visitorsThe expert system may be used to assist in providing consultation or other services in the museumwhile robots are used for interaction or guidesAt the same timethis may also involve mode recognition technologysuch as when analyzing artwork for preservation