The author presents a novel trajectory optimization method, χ-iLQR, based on the fundamental solution matrix to improve tracking performance, reduce feedback control effort, and enhance robustness to perturbations in legged robots.
Proposing a novel global yaw parameterization method for trajectory optimization to efficiently optimize both yaw and position trajectories.