SmoLSTM: A Compact Vision-Language-Action Model with Recurrent Memory that Persists
Vision-language-action models often predict actions from only the current observation, which can leave tasks involving object occlusion or visually identical objects ambiguous without episode history. The usual countermeasure, widening the observation window, turns the horizon into a hyperparameter and lets per-step co...