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

Author(s)
Kanjanarajit, Teeratorn
Somsak, Thanapoom
Suttitanon, Wachirawut
Chimsakul, Parn
Aphiratsakun, Narong
Date Issued
January 1, 2026
Type
Conference Paper
DOI
10.1109/ECTIDAMTNCON67592.2026.11460003
Abstract
With 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.
Citation
11th International Conference on Digital Arts Media and Technology and 9th Ecti Northern Section Conference on Electrical Electronics Computer and Telecommunications Engineering Ecti Damt and Ncon 2026, 72-77, 2026
Subjects

AI Language model

Edge computing

Embedded AI

Human-robot interacti...

Mobile Robotics

Natural language proc...

Real time speech proc...

Robot operating syste...

ROS Mobile Robotics

Speech recognition

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