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cs.RO2026
Guided Action Flow: Value-Guided Sampling for Frozen Vision-Language-Action Policies
Liuhaichen Yang, Zhuang Jiang, Chenchao Sheng +8
Reinforcement learning can improve vision-language-action (VLA) policies beyond supervised fine-tuning, although this typically involves further updates to the policy parameters. F…
cs.RO2026
SignVLA: A Gloss-Free Vision-Language-Action Framework for Real-Time Sign Language-Guided Robotic Manipulation
Xinyu Tan, Ningwei Bai, Harry Gardener +6
We present, to our knowledge, the first sign language-driven Vision-Language-Action (VLA) framework for intuitive and inclusive human-robot interaction. Unlike conventional approac…