Bayesian Optimization |https://relo02.github.io/tags/bayesian-optimization/Bayesian OptimizationHugo Blox Builder (https://hugoblox.com)en-usThu, 01 Jan 2026 00:00:00 +0000https://relo02.github.io/media/icon_hu_982c5d63a71b2961.pngBayesian Optimizationhttps://relo02.github.io/tags/bayesian-optimization/Go2 Autonomous Navigation — Learned Nonlinear MPChttps://relo02.github.io/projects/go2-navigation/Thu, 01 Jan 2026 00:00:00 +0000https://relo02.github.io/projects/go2-navigation/<p>A data-efficient framework that <strong>learns the cost weights of a nonlinear MPC</strong> navigation stack using <strong>Bayesian Optimization</strong>, treating closed-loop performance as a black-box objective and deploying the result on a <strong>Unitree Go2</strong> quadruped.</p> <ul> <li>📄 Paper: — <em>IEEE ICRA 2026 Workshop</em> (1st author)</li> <li>💻 Code: </li> </ul> <blockquote class="border-l-4 border-neutral-300 dark:border-neutral-600 pl-4 italic text-neutral-600 dark:text-neutral-400 my-6"> <p>Add a demo clip at <code>static/videos/go2-navigation.mp4</code> to play it in the homepage showcase.</p> </blockquote>Bayesian Optimization for Learning Nonlinear MPC in Autonomous Agent Navigationhttps://relo02.github.io/publications/bayesian-mpc/Thu, 01 Jan 2026 00:00:00 +0000https://relo02.github.io/publications/bayesian-mpc/<p>First-author work (with G. Voss, G. Beltrami, F. Dorati, and T. F. Banfi) presented at the <strong>IEEE ICRA 2026 Workshop</strong>. We learn the weights of a nonlinear MPC navigation controller via <strong>Bayesian Optimization</strong>, treating closed-loop performance as a black-box objective and deploying the result on a <strong>Unitree Go2</strong> quadruped.</p> <ul> <li>📄 </li> <li>💻 </li> </ul>