Temporal Cascading of Planning and Control for Quadrotor MPC
The episode discusses the paper "Temporal Cascading of Planning and Control for Quadrotor MPC." The hosts explain how this architecture unifies planning and control into a single optimization by making long-horizon planning a second tail horizon. They detail technical improvements like aligning costs, using transition constraints to bridge model fidelity gaps, and employing parallel re-planning strategies to achieve up to seventy-five percent better closed-loop performance.