Search Results for author:
Found 2 papers, 0 papers with code
Automated Tuning of Nonlinear Kalman Filters for Optimal Trajectory Tracking Performance of AUVs
To enable a fair comparison, filter parameters are auto-tuned with Bayesian optimization (BO) for open and closed-loop performance, which is novel in AUV navigation.
Joint Constrained Bayesian Optimization of Planning, Guidance, Control, and State Estimation of an Autonomous Underwater Vehicle
Our objective is to automatically tune these parameters with respect to arbitrary high-level control objectives within different operational scenarios.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
