← Search

GilHwan Kim

2 accepted papers

2026

Validation of Dynamic Bayesian Optimization for a Non-Stationary Human-in-The-Loop Optimization Problem

RA-L 2026

Human-in-the-Loop Optimization (HILO) has demonstrated efficacy in achieving a plethora of assistive or augmentative effects. However, conventional optimizers such as Bayesian optimization (BO) do not account for the non-stationary aspects of the human-robot system, and may thus be limited in the do

Cited by 0SourceScholar
2021

Using Bayesian Optimization to Identify Optimal Exoskeleton Parameters Targeting Propulsion Mechanics: A Simulation Study

IROS 2021poster

The long-term goal of this research is to develop methods for training propulsion during walking using robotic exoskeletons that customize their intervention based on the response of an individual.In this study, we first determined the feasibility of modeling the relationship between propulsion mech…

Cited by 2SourceScholar