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alibaba-damo-academy/RynnVLA-002
默认分支 main · commit e548ccc2 · 扫描时间 2026/5/20 17:27:45
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下方为分数趋势(含全部就绪扫描;左旧右新,可横向滚动)。表格明细默认折叠,展开后每页 10 条,最新在上。
共 2 条就绪扫描。点击下方按钮展开表格(每页 10 条,可翻页)。
行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 alibaba-damo-academy/RynnVLA-002 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。
行动计划 — 可复制粘贴的修复
2 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。
- highlicense#1Create a LICENSE file in the repository root
原因:
复制粘贴的修复Create a `LICENSE` file in the repository root with an appropriate open-source license (e.g., Apache-2.0, MIT) that aligns with Alibaba-DAMO Academy's standard practices for public research projects.
- mediumreadme#2Refine the README introduction for clearer positioning
原因:
当前RynnVLA-002 is an autoregressive action world model that unifies action and image understanding and generation. RynnVLA-002 intergrates Vision-Language-Action (VLA) model (action model) and world model in one single framework. Compared to WorldVLA, RynnVLA-002 adds a continous Action Transformer, wrist camera input and generation, and state input. RynnVLA-002 achieves 97.4% success rate on LIBERO benchmark.
复制粘贴的修复RynnVLA-002 is a cutting-edge autoregressive action world model designed for **robotics and real-world environments**, unifying vision, language, and action understanding and generation. It integrates Vision-Language-Action (VLA) and world models into a single framework, achieving a 97.4% success rate on the LIBERO benchmark and enabling advanced action generation for complex robotic tasks.
本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash
品类可见性 — 真正的 GEO 测试
向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?
各模型使用同一组问题 — 切换标签对比回答与排名。
- OpenVLA · 被推荐 1 次
- RT-X · 被推荐 1 次
- PaLM-E · 被推荐 1 次
- CLIPort · 被推荐 1 次
- Perceiver IO · 被推荐 1 次
- 品类问题Looking for a unified model combining vision, language, and action for robotics.你:未被推荐AI 推荐顺序:
- OpenVLA
- RT-X
- PaLM-E
- CLIPort
- Perceiver IO
AI 推荐了 5 个替代方案,却始终没点名 alibaba-damo-academy/RynnVLA-002。这就是要补上的差距。
查看 AI 完整回答
- 品类问题Need a framework for autoregressive action generation in real-world robotic environments.你:未被推荐AI 推荐顺序:
- Robotics Transformer (RT-1, RT-2)
- Diffusion Policy
- ACT (Action Chunking with Transformers)
- MPPI
- CEM
- RL-VLM (Reinforcement Learning with Vision-Language Models)
- CLIP
- LLaVA
AI 推荐了 8 个替代方案,却始终没点名 alibaba-damo-academy/RynnVLA-002。这就是要补上的差距。
查看 AI 完整回答
客观检查
针对 AI 引擎最看重的元数据信号的规则审计。
- Metadata completenessfail
建议:
- README presencepass
自指检查
当被直接问到你时,AI 是否还知道你的仓库存在?
- Compared to common alternatives in this category, what is the core differentiator of alibaba-damo-academy/RynnVLA-002?passAI 明确点名了 alibaba-damo-academy/RynnVLA-002
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- If a team adopts alibaba-damo-academy/RynnVLA-002 in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 alibaba-damo-academy/RynnVLA-002
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- In one sentence, what problem does the repo alibaba-damo-academy/RynnVLA-002 solve, and who is the primary audience?passAI 明确点名了 alibaba-damo-academy/RynnVLA-002
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
嵌入你的 GEO 徽章
把这个徽章贴进 alibaba-damo-academy/RynnVLA-002 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。
[](https://repogeo.com/zh/r/alibaba-damo-academy/RynnVLA-002)<a href="https://repogeo.com/zh/r/alibaba-damo-academy/RynnVLA-002"><img src="https://repogeo.com/badge/alibaba-damo-academy/RynnVLA-002.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
alibaba-damo-academy/RynnVLA-002 — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。
- 深度报告每月 10 次
- 无品牌品类查询5,轻量 2
- 优先行动项8,轻量 3