Retrieval-Augmented Large Language Model Implementation for Context-Aware Robotic Task Execution

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dc.contributor.authorTeeratorn Kanjanarajit
dc.contributor.authorThanapoom Somsak
dc.contributor.authorWachirawut Suttitanon
dc.contributor.authorParn Chimsakul
dc.contributor.authorNarong Aphiratsakun Assumption
dc.date.accessioned2026-05-08T19:26:43Z
dc.date.issued2026-2-4
dc.description.abstractWith the expanded use of robot technology in everyday lives, there is a need for a convenient and flexible method to control robots. With this work, we seek to implement a system that uses AI to interpret natural language to issue commands to our mobile robot based on given context and environment. In this work, we have implemented a system using AI to interpret natural language to issue commands to our mobile robot while reflecting the accuracy and practicality issues.
dc.identifier.doi10.1109/ectidamtncon67592.2026.11460003
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/20759
dc.subjectMultimodal Machine Learning Applications
dc.subjectRobotics and Automated Systems
dc.subjectBig Data and Digital Economy
dc.titleRetrieval-Augmented Large Language Model Implementation for Context-Aware Robotic Task Execution
dc.typeArticle

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