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September 5, 2025RoboticsOpen Access

Framework for LLM-Enabled Construction Robot Task Planning: Knowledge Base Preparation and Robot–LLM Dialogue for Interior Wall Painting

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Novel framework utilizes LLM for task planning in construction robots, suggesting efficiency gains in dialogue-based interactions.

LLMs can significantly enhance task planning in construction robots through adaptive dialogue, improving operational efficiency.
Using ChatGPT-4, the framework processes both structured BIM data and unstructured inputs for accurate robot instructions.
A prototype demonstrated that LLMs can execute tasks in real-time, reducing dependency on conventional hardcoded logic.
This approach indicates that LLMs have the potential to handle more complex operations beyond interior wall painting.

Kim et al. (2025) studied this question.

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