dcaffo98/path-planning-cnn
Solving synthetic 2d path-planning problems with a convolutional neural network.
This project helps operations engineers and robotics researchers quickly find efficient routes for navigating through complex, obstacle-filled environments. It takes a 2D map of an area with obstacles and start/end points as input, and outputs a clear, drivable path. This is ideal for anyone designing or managing automated navigation systems in constrained spaces.
No commits in the last 6 months.
Use this if you need to generate optimized paths in 2D environments where obstacles are static and clearly defined.
Not ideal if your environment is dynamic, has moving obstacles, or requires real-time reactive path adjustments.
Stars
62
Forks
5
Language
Python
License
GPL-3.0
Category
Last pushed
Aug 03, 2025
Commits (30d)
0
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