2 papers
cs.RO2026
Towards VLA-Dreamer: Refining VLA Behavior Using World Models
Parsa Mastouri Kashani, Jan-Gerrit Habekost, Stefan Wermter
Vision-Language-Action models (VLAs), while showing strong potential for robot control, require massive amounts of high-quality imitation learning data. Moreover, the absence of an…
cs.RO2026
SmoLSTM: A Compact Vision-Language-Action Model with Recurrent Memory that Persists
Jan-Gerrit Habekost, Parsa Mastouri Kashani, Connor Gäde +5
Vision-language-action models often predict actions from only the current observation, which can leave tasks involving object occlusion or visually identical objects ambiguous with…