Optigami
Optigami trains an LLM to generate FOLD-format crease patterns that fold into target origami shapes, using GRPO with Unsloth LoRA on Colab.
Core trick
GRPO trains an LLM to emit FOLD-format crease patterns, scored by whether they fold into the target 3D origami shape.
Description
Optigami trains an LLM to generate FOLD-format crease patterns that fold into target origami shapes, using GRPO with Unsloth LoRA on Colab. Computational origami design has direct applications in satellite solar panel deployment, self-folding medical stents, drug delivery molecular design, deployable space structures, and soft robotics, this environment teaches models the spatial reasoning needed to bridge 2D crease patterns to 3D folded structures.