Multi-Objective Human-in-the-Loop Bayesian Optimization of a Lower-Limb Exoskeleton
This work proposes Multi-Objective Human-in-the-loop Bayesian Optimization (MO-HILBO), which builds on explicit multi-objective Bayesian optimization to efficiently infer a personalized set of Pareto-optimal controllers.
Neil C. Janwani, Matthew T. Lerner, Aaron J. Young et al.
· 0 citations