Dongjune Chang — accepted AI-conference papers

2022

User-Adaptive Variable Damping Control Using Bayesian Optimization to Enhance Physical Human-Robot Interaction

Fatemeh Zahedi, Dongjune Chang, Hyunglae Lee

RA-L 2022

This letter presents a user-adaptive variable damping controller that enhances the overall performance of coupled human-robot systems in terms of stability, agility, user effort, and energy expenditure during physical human-robot interaction. The controller accounts for impedance properties of the h

Cited by 15 Source ↗Scholar ↗

2021

Validation of a Novel Parallel-Actuated Shoulder Exoskeleton Robot for the Characterization of Human Shoulder Impedance

Dongjune Chang, Justin Hunt, John Atkins, Hyunglae Lee

ICRA 2021poster

This study validates the effectiveness of a recently developed parallel-actuated shoulder exoskeleton robot for the purpose of characterizing the neuromuscular properties of the human shoulder joint. In particular, shoulder mechanical impedance was quantified, which can be represented by a 2nd order…

Cited by 5 Source ↗Scholar ↗