Hadar933/AdaptiveSpectrumLayer
Official PyTorch Implementation for the "A Deep Inverse-Mapping Model for a Flapping Robotic Wing" Paper (ICLR 2025)
This project helps roboticists and biomechanics researchers understand and predict how to move a flapping robotic wing to achieve desired aerodynamic forces. It takes in data on wing kinematics (like pitch, yaw, and roll angles) and corresponding forces, then learns an inverse model. The output helps you determine the precise wing movements needed to generate specific forces, which is crucial for designing and controlling flapping-wing robots.
Use this if you are a robotics engineer or researcher working with flapping-wing systems and need to predict the required wing movements to achieve desired aerodynamic forces.
Not ideal if you are looking for a general-purpose machine learning library not specifically tailored to robotic flapping wing control or inverse dynamics.
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21
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2
Language
Python
License
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Last pushed
Dec 16, 2025
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