Planning Neural Dynamics with Lie Group Embedding through Supervised Projective Manifold Learning

In three linesLieEDNN introduces Lie group embedded dynamical neural networks to model continuous symmetries on manifolds. The method addresses incompatibility between neural network addition and non-Euclidean geometry through adjoint Lie group actions on Lie algebras. Tested on SE(3) for telescopic manipulator control.

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