Revolutionizing Construction with AI-Optimized Wood Panels
(EMPA, April 11, 2025)
Researchers at Empa and ETH Zurich, led by Prof. Dr. Ingo Burgert and Dr. Mark Schubert, have created wood-based panels from split wooden sticks, optimized by AI for use in construction. This method uses lower-quality wood, reducing waste and improving the strength of the panels for load-bearing purposes. It represents a significant step toward sustainable construction, addressing climate change by efficiently using various wood types.
The process combines traditional wood splitting with AI to select the best pieces for construction materials. An automated camera and machine learning algorithms evaluate wood properties, producing strong, durable panels. This innovation could transform the construction industry by enhancing sustainability and efficiency. Empa and ETH Zurich's work exemplifies the integration of technology and artificial intelligence in material science, paving the way for future sustainable construction materials.