The AI & LLM Integration Team is at the forefront of incorporating cutting-edge large language models into robotic systems. We develop frameworks that enable robots to understand, reason, and communicate using natural language, making human-robot collaboration more intuitive and effective.
Our work centers on bridging the gap between advanced language models and robotic control systems. We create innovative architectures that allow LLMs to interpret complex instructions, plan tasks, and make intelligent decisions in real-time robotic applications.
Optimizing language models for robotic task understanding
Enabling intuitive human-robot communication
AI-driven planning and decision-making systems
Coordinating multiple AI agents for complex tasks
Professor Nguyen Le Minh leads research on natural language processing, artificial intelligence, and intelligent systems, with a focus on applying language technologies to real-world decision-making and human-centered AI applications.
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