Eunha Park

DextER: Language-driven Dexterous Grasp Generation with Embodied Reasoning

Language-driven dexterous grasp generation requires the models to understand task semantics, 3D geometry, and complex hand-object interactions. While vision-language models have been applied to this problem, existing approaches directly map observations to grasp parameters without intermediate reaso