Dennis Mronga

Adapting measurement noise dynamically can boost legged robot state estimation accuracy by 25%, eliminating the need for cumbersome parameter tuning.

Achieve real-time bipedal walking control by cleverly swapping high-fidelity for low-fidelity models in MPC, slashing computation without sacrificing stability.