Development of an AI-Driven Robotic Tour Guide utilizing simultaneous localization and mapping (SLAM) and visual odometry for enhanced visitor experience (Record no. 36980)

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fixed length control field 02517nam a22002417a 4500
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control field ft8619
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control field 20251024132604.0
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Language code of text/sound track or separate title engtag
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Classification number TK8000 B35 2025
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Personal name Balcos, Adrian Gabriel T.; Estido, Michael Lawrence P.; Martin, Anilov P.; Pangilinan, Ram Russel C.
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Title Development of an AI-Driven Robotic Tour Guide utilizing simultaneous localization and mapping (SLAM) and visual odometry for enhanced visitor experience
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Manila:
Name of producer, publisher, distributor, manufacturer PLM,
Date of production, publication, distribution, manufacture, or copyright notice c2025
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Other physical details Undergraduate Thesis: (BS in Electronics Engineering) - Pamantasan ng Lungsod ng Maynila, 2025
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Source unmediated
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Formatted contents note ABSTRACT: Local government unit (LGU) and small privately owned museums in the Philippines often face challenges such as limited funding, lack of interactivity, and low visitor turnout. These limitations affect the quality of the museum experience and can hinder the preservation of culture. This study presents the development of an AI-driven robotic tour guide for small-scale museums, specifically deployed at the Fr. George J. Williann, SJ Museum. The goal of the study is to enhance visitor engagement using a tour guide robot named “ROAMIO” that is equipped with Simultaneous Localization and Mapping (SLAM), Visual Odometry, and Natural Language Processing (NLP) to facilitate autonomous movement. It is equipped with a LiDAR sensor, rear camera, stereo speakers, and LCD display, and a microphone, all integrated with a conversational AI named “JULIET.” The robot guides visitors along a mapped path and responds to queries in real-time, allowing the robot to provide an interactive and engaging learning experience. Performance testing included navigation accuracy, information reliability, and visitor interaction, with results showing a high satisfaction rating of 4.30 based on the Post-Study System Usability Questionnaire (PSSUQ) conducted with a confidence level of 95% and a margin of error of = 5%. The findings indicate that the system is reliable, informative, and engaging for users wherein the respondents were highly satisfied with the performance of the robot. This project demonstrates the potential of robotics and AI in enriching museum experiences and addressing limitations of traditional tour methods.
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Classification Filipiniana
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Item type Thesis/Dissertation
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent Location Current Location Shelving location Date acquired Fund Source Total Checkouts Full call number Barcode Date last seen Price effective from Item type
          Filipiniana-Thesis PLM PLM Filipiniana Section 2025-06-26 donation   TK8000 B35 2025 FT8619 2025-10-24 2025-10-24 Thesis/Dissertation

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