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#artificial intelligence Preprint Sep 2026

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. · 1 citation
Preprint Aug 2026

Faster-WAM: Efficient Inference-Time Future Conditioning for Robust World Action Models

Faster-WAM introduces a sparse future-conditioning framework that computes future representations once and selectively reuses them throughout action denoising, and proposes SparseMoT to replace ubiquitous layer-wise fusion with selective video-action interaction at a compact subset of network stages, and Interval KV-Fu...

Weiheng Zhao, Haoyi Jiang, Xin Shi et al. · 10 citations

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