arXiv 2610.02368 · cs.RO · 2026-10-01
Rethinking World-Action Model for Compositional and In-Context Robotic Manipulation
Shukai Gong, Xuanran Zhai, Yintianrun Zhang, Ruopeng Cui, Ye Huang, Yiyang Fu, Dexuan Lyu, Chaojie Li 等 19 人
DAGroup-PKU
在最新榜 #142 本站收录于 2026-10-21
一句话要点
ViGAR 把长程操作拆成“视觉子目标规划 + 子目标执行”，提升组合式和上下文学习式机器人操作。
ViGAR splits long-horizon manipulation into a visual subgoal planner and a subgoal executor for compositional, in-context robot tasks.
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主题与学科
同主题：机器人与具身
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- 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。
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