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SeededGrasp: Language-Guided Grasping in Complex Scenes with Multiple Embodiments

3 upvotes · 22 JUL 2026 · Yang Xu, Gurpreet Singh Mukker, Raymond Wang et al.

This paper develops a new framework for robotic grasping in complex scenes that uses language to specify task requirements, allowing robots to grasp objects with more precision and flexibility. Practitioners working on robotic grasping and manipulation might care about this approach because it could improve the performance and efficiency of robots in real-world applications.

vision-language modelsrobotic graspingmulti-embodimentscene understandingreinforcement learning