SOURCE-LINKED INTELLIGENCE
OpenDexGrasp: Open-vocabulary Task-Oriented Dexterous Grasping
Dexterous grasp synthesis has advanced rapidly in generating stable and physically plausible hand poses, but real-world manipulation requires grasps that preserve the function implied by the task. We study open-vocabulary task-oriented dexterous grasp generation, where a robot must infer functional intent from free-form language, ground it in multi-view visual observations and object geometry, and generate an executable high-degree-of-freedom grasp. We present OpenDexGrasp, a unified data and generative modeling framework for this setting. OpenDexVerse provides dual-source supervision organize
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-16T04:51:35.000Z
First collected: 2026-09-20T08:20:57.646Z. This is not the publication date.