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Strucural Design Through Reinforcement Learning
The paper introduces SOgym, an open-source reinforcement learning environment for topology optimization.
Thomas Rochefort-Beaudoin, Aurelian Vadean, Niels Aage, Sofiane Achiche
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Strucural Design Through Reinforcement Learning
From Density to Geometry: YOLOv8 Instance Segmentation for Reverse Engineering of Optimized Structures
This paper presents YOLOv8-TO, a novel method using a custom YOLOv8 model to automate the reverse engineering of topology-optimized structures into parametric forms, significantly outperforming traditional skeletonization methods in accuracy and efficiency.
Thomas Rochefort-Beaudoin, Aurelian Vadean, Sofiane Achiche, Niels Aage
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From Density to Geometry: YOLOv8 Instance Segmentation for Reverse Engineering of Optimized Structures
An example preprint / working paper
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Thomas Rochefort-Beaudoin
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An example preprint / working paper