DextER uses contact-based embodied reasoning via autoregressive token generation to produce language-driven dexterous grasps, reaching 67.14% success on DexGYS with a 3.83 p.p. gain over prior methods and 96.4% better intention alignment.
Graspxl: Generating grasping motions for diverse objects at scale
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DextER: Language-driven Dexterous Grasp Generation with Embodied Reasoning
DextER uses contact-based embodied reasoning via autoregressive token generation to produce language-driven dexterous grasps, reaching 67.14% success on DexGYS with a 3.83 p.p. gain over prior methods and 96.4% better intention alignment.