LLM-Driven Safe Robotic Navigation in Construction Sites: A Prompt Engineering Framework with Terrain-Adaptive Path Planning
Published in Computing in Civil Engineering 2025: Computational and Intelligent, 2026
This research develops an LLM-driven framework for safe robotic navigation in construction sites, combining prompt engineering with terrain-adaptive path planning.
Recommended citation: Zhao, X., Ren, T., and Jebelli, H. (2026). “LLM-Driven Safe Robotic Navigation in Construction Sites: A Prompt Engineering Framework with Terrain-Adaptive Path Planning.” Computing in Civil Engineering 2025: Computational and Intelligent.
Recommended citation: Zhao, X., Ren, T., and Jebelli, H. (2026). "LLM-Driven Safe Robotic Navigation in Construction Sites: A Prompt Engineering Framework with Terrain-Adaptive Path Planning." Computing in Civil Engineering 2025: Computational and Intelligent.
Download Paper