arXiv 2610.21306 · cs.CV · 2026-10-15
VLA-$Δ$: Learning Physical State Transition for Vision-Language-Action Models
Qi Lu, Jiarun Li, Ce Zhang, Miao Pan, Yi Pan, Xu Wang, Wenqi Zhang, Xuhong Zhang
ZJU-OmniAI
在最新榜 #226 本站收录于 2026-10-21
一句话要点
VLA-Δ 显式监督物理状态的变化,减少视觉-语言-动作模型对“观察→动作”对应关系的过拟合。
VLA-Δ explicitly supervises physical state transitions to reduce VLA overfitting to observation-action pairs.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库 项目页
主题与学科
同主题:机器人与具身
- Has GPT-6-Astra Achieved Embodied Intelligence? ▲459
- In-Context Learning for Robots: Methods and Applications ▲388
- HexaShell: A Thin Harness for Exploring the Limits of VLM Agents as Robot Coding Agents ▲313
- GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives ▲310
- Ropedia W0: Scaling Loco-Manipulation World Models across Embodiments with Human Experience ▲179
数据说明
元数据来自 arXiv API(已核实);点赞来自 Hugging Face 每日论文;引用来自 Semantic Scholar。最近刷新 2026-10-22。
要点由本站根据摘要自写,不转载摘要原文,请阅读原文。