A Neural Network Approach towards Real-Time Knot Point Density Estimates for the Nonlinear Quadrotor
This work proposes a learning-based method for adaptive knot placement in B-spline approximations of trajectories generated by ordinary differential equations, where a neural network learns a mapping from the initial condition of the system to quantities that characterize the local variation of the resulting trajectory...
Jasmine Ratchford, Raffaele Romagnoli, M. Klein
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