gabrieletiboni/paintnet

PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic Spray Painting

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This project helps industrial automation engineers and roboticists program spray painting robots more efficiently. It takes 3D scans or point clouds of free-form objects as input and generates optimized, multi-path trajectories for a robot arm, ensuring smooth and comprehensive surface coverage. This is for professionals managing robotic painting lines.

No commits in the last 6 months.

Use this if you need to automate the path planning for robotic spray painting of complex, free-shape industrial objects, moving beyond rigid, predefined trajectories.

Not ideal if your robotic application does not involve painting or similar multi-path surface coverage tasks, or if you're not working with 3D point cloud data.

robotic-painting industrial-automation path-planning 3D-object-processing surface-coating
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

41

Forks

11

Language

Python

License

MIT

Last pushed

Mar 04, 2025

Commits (30d)

0

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