SECOND-Grasp integrates semantic contact proposals from vision-language reasoning with geometric refinement to achieve 98%+ lifting success and improved intent-aware grasping on seen and unseen objects.
Multi-graspllm: A multi- modal llm for multi-hand semantic guided grasp generation
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.RO 2years
2026 2representative citing papers
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.
citing papers explorer
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SECOND-Grasp: Semantic Contact-guided Dexterous Grasping
SECOND-Grasp integrates semantic contact proposals from vision-language reasoning with geometric refinement to achieve 98%+ lifting success and improved intent-aware grasping on seen and unseen objects.
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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.