Publication: Retrieval-Augmented Large Language Model Implementation for Context-Aware Robotic Task Execution
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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.
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AI Language model, Edge computing, Embedded AI, Human-robot interaction (HRI), Mobile Robotics, Natural language processing (NLP), Real time speech processing, Robot operating system (ROS), ROS Mobile Robotics, Speech recognition
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