arXiv 2609.36012 · cs.RO · 2026-09-28
In-Context Learning for Robots: Methods and Applications
Haojian Huang, Zexi Li, Junhao Guo, Yehang Zhang, Wenxuan Peng, Bohan Zhou, Weilin Ruan, Leyi Wu 等 39 人
Knowin AI
在最新榜 #7 2026-W40 第 6 名 本站收录于 2026-10-21
一句话要点
机器人上下文学习综述：按“上下文如何转成动作”把方法分成四大类并对比。
A survey of in-context learning for robots, grouping methods into four families by how context is turned into action.
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主题与学科
同主题：机器人与具身
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- 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
- Reflex: Visually Grounded Reactive Humanoid Control ▲154
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。