新框架通过推理和物理基础增强AI具身操作 · 已追踪4个来源

报道来源 [4]

1. arXiv cs.AI TIER_1 English(EN) · Haowen Liu, Xirui Li, Shaoxiong Yao, Peng Shi, Tianyi Zhou, Jia-Bin Huang, Furong Huang, Jiayuan Mao · 2026-06-18 04:00

   Guava: An Effective and Universal Harness for Embodied Manipulation

   arXiv:2606.18363v1 Announce Type: cross Abstract: Language models trained on large-scale vision-language data have demonstrated strong potential for embodied agents. Harnessing models through embodied tools use offers a promising alternative to end-to-end vision-language-action s…

2. Hugging Face Daily Papers TIER_1 English(EN) · 2026-06-16 00:00

   Guava：一种有效且通用的具身操作工具集

   A harness framework for embodied tool use combines high-level reasoning with external modules, enabling compact models to perform complex manipulation tasks with minimal training data.

3. arXiv cs.LG TIER_1 English(EN) · Namai Chandra, Shriram Damodaran, Lin Wang · 2026-06-15 04:00

   PhysVLA: Towards Physically-Grounded VLA for Embodied Robotic Manipulation

   arXiv:2606.13886v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models excel at mapping visual inputs and natural language instructions directly to robotic control policies. However, because they are trained primarily to fit behavioural demonstration data, they do …

4. arXiv cs.CV TIER_1 English(EN) · Lin Wang · 2026-06-11 20:23

   PhysVLA: Towards Physically-Grounded VLA for Embodied Robotic Manipulation

   Vision-Language-Action (VLA) models excel at mapping visual inputs and natural language instructions directly to robotic control policies. However, because they are trained primarily to fit behavioural demonstration data, they do not explicitly enforce fundamental physical princi…