Shypd.aiThe largest open index of AI toolsNeuPAN is an open-source AI tool for direct point robot navigation using end-to-end model-based learning. It offers real-time, map-free motion planning with minimal training data.
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NeuPAN (Neural Proximal Alternating-minimization Network) is an end-to-end, real-time, and map-free robot motion planner designed for direct point robot navigation. It integrates learning-based and optimization-based techniques to map obstacle points directly to control actions, ensuring high accuracy and safety in cluttered and unknown environments. Unlike traditional modular planners, NeuPAN avoids error propagation by eliminating middle modules and requires minimal training data, often just random points within a range. It boasts fast training times, typically 1-2 hours on a CPU for new robot geometries, and can be deployed without retraining for various environments. NeuPAN also provides a ROS wrapper for integration and supports DUNE model training for specific robot geometries.
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