Byeongwook Jeon

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control

Deep neural network (DNN)-based policy models, such as vision-language-action (VLA) models, excel at automating complex decision-making from multi-modal inputs. However, scaling these models greatly increases computational overhead, complicating deployment in resource-constrained settings like robot…