Adaptive Vision-Language Grasping via Composable Foundation Priors and Generalizable Grasp Synthesis
The results indicate that decoupling physical grasp synthesis from task-dependent understanding provides a scalable paradigm for robotic grasping, allowing future advances in foundation models to be directly translated into improved grasp capabilities without redesigning or retraining the underlying grasp policy.
Si-Xu Yan, Shi-Kang Wang, Bin-Hua Huang et al.
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