Covariant Hamiltonian Optimization for Motion Planning takes in a naive (possibly infeasible) trajectory for initialization and uses covariant gradient update techniques to improve the trajectory. It is particularly meant for high dimensional motion planning problems and can optimize high order dynamical quantities.

1. It discretizes the trajectory into a set of n waypoints. The RKHS paper improves upon this.

1. Matthew-Kelly : Amazing set of tutorials