gabrieletiboni/MaskPlanner
MaskPlanner is a deep learning model for the quick generation of multiple, long-horizon paths from free-form 3D objects represented as point clouds.
This project helps industrial engineers and robotics operators quickly generate detailed, long-range movement paths for robots performing tasks like spray painting or welding on complex 3D objects. You input a 3D scan (point cloud) of an object, and it outputs precise, executable robot trajectories. This is ideal for those managing robotic manufacturing processes, aiming to automate path planning for diverse and free-form product designs.
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Use this if you need to generate efficient, high-coverage robot movement paths for complex 3D objects, especially in manufacturing applications like automated painting or welding.
Not ideal if your robot task involves simple, pre-defined geometries or if you need explicit optimization for material deposition rather than just object coverage.
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21
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4
Language
Python
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Last pushed
Jun 20, 2025
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