2 citations · 2 across the 8 of their papers we have counts for
3 papers · 1 filter
When Listening Becomes Easier: Scrubbing Visual Cues for Shortcut-Free VLAs
Jasper Gerigk, Kenzo Aspuru-Takata, Chin-Hsuan Wu +3
Shortcut learning is a prevalent issue in robot learning. The limited diversity of robot demonstration datasets can mislead policies into exploiting spurious correlations between t…
SeededGrasp: Language-Guided Grasping in Complex Scenes with Multiple Embodiments
Yang Xu, Gurpreet Singh Mukker, Raymond Wang +3
Practical robotic grasping in complex scenes requires both 3D spatial reasoning and alignment with task-specific requirements. Vision-language models (VLMs) offer a natural way to…
Reasoning models do not yet follow their reasoning in autonomous driving: The KITScenes LongTail Dataset
Royden Wagner, Omer Sahin Tas, Jaime Villa +20
Handling rare events is the central open challenge in autonomous driving. Reasoning models, which generate explicit chains of reasoning before acting, promise to generalize to such…