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AIM-3D-Eulerian-trail
warmae/AIM-3D-Eulerian-trail
AIM-3D-Eulerian-trail is a machine learning model from warmae. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This model takes a 3D voxel occupancy map as input and generates a continuous toolpath that fills all empty space. No CAD model is required — the policy is trained via reinforcement learning with intrinsic curiosity.
Access
Public
Updated Nov 28, 2025
Repo size
1.2 MB
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Repo makeup
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.pt1.2 MB · 100%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Nov 28, 2025
- Updated
- Nov 28, 2025
- SHA
- 61bcff13
Model card
From the Hugging Face model README
3D Voxel Infill Path Planning (RL Model)
This model takes a 3D voxel occupancy map as input and generates a continuous toolpath that fills all empty space. No CAD model is required — the policy is trained via reinforcement learning with intrinsic curiosity.
Features
- CAD-less volumetric infill path generation
- Reinforcement learning policy (26 discrete 3D actions)
- Supports any binary voxel grid (1: empty / 0: solid)
Quick Start
import torch
model = torch.load("model.pt")
model.eval()
# voxel_map: torch.Tensor [D, H, W]
trajectory = model.generate_path(voxel_map)
Citation
If you use this model, please cite:
Yang et al., CAD-Less Volumetric Path Generation for Lunar 3D Printing via Intrinsic Curiosity Motivation, 2025.
License
Research use only.
- License
- apache-2.0
- Created
- Nov 28, 2025
- Updated
- Nov 28, 2025