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Achieve faster, more accurate robot system identification by embedding physical constraints directly into a Bayesian estimation framework, leading to measurable improvements in model predictive control tracking performance.
Forget interior-point methods: ODYN tackles tough quadratic programs in robotics and AI with a novel all-shifted approach, showing superior warm-starting and convergence without needing linearly independent constraints.