REPOGEO 报告 · LITE
BeingBeyond/Being-H
默认分支 main · commit d8141d5b · 扫描时间 2026/6/15 23:17:48
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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 BeingBeyond/Being-H 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
3 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。
- hightopics#1Add relevant topics to the repository
原因:
复制粘贴的修复embodied-ai, foundation-models, vla, wam, robotics, human-centric-ai, reinforcement-learning, imitation-learning, robot-control, human-demonstration
- highreadme#2Reposition the README H1 and introductory sentence
原因:
当前# Being-H Being-H is BeingBeyond's family of human-centric embodied foundation models.
复制粘贴的修复# Being-H: Human-Centric Embodied Foundation Models for Robotics and Embodied Agents Being-H is BeingBeyond's family of human-centric embodied foundation models, specifically designed for applications in robotics and embodied AI, enabling agents to learn from human demonstrations and interact with the world.
- mediumreadme#3Add a 'Key Capabilities' section to the README
原因:
复制粘贴的修复## Key Capabilities Being-H models are designed to: * **Learn from Human Demonstrations:** Utilize egocentric videos and human-centric data for robust pre-training. * **Cross-Embodiment Generalization:** Enable models to apply learned skills across different robotic platforms and environments. * **Unified Action Spaces:** Provide a consistent framework for diverse robotic tasks. * **Future-Aware Latent Reasoning:** Incorporate advanced reasoning for complex sequential decision-making.
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。
- RT-1 (Robotics Transformer 1) · 被推荐 1 次
- RT-2 (Robotics Transformer 2) · 被推荐 1 次
- OpenVLA (Open-Vocabulary Language-conditioned Agent) · 被推荐 1 次
- PaLM-E (Pathways Language Model Embodied) · 被推荐 1 次
- CLIP (Contrastive Language-Image Pre-training) · 被推荐 1 次
- 品类问题Seeking AI models for robotic control that understand vision, language, and actions.你:未被推荐AI 推荐顺序:
- RT-1 (Robotics Transformer 1)
- RT-2 (Robotics Transformer 2)
- OpenVLA (Open-Vocabulary Language-conditioned Agent)
- PaLM-E (Pathways Language Model Embodied)
- CLIP (Contrastive Language-Image Pre-training)
- ViT-P (Vision Transformer for Policy)
AI 推荐了 6 个替代方案,却始终没点名 BeingBeyond/Being-H。这就是要补上的差距。
查看 AI 完整回答
- 品类问题Need a framework to train embodied agents using human demonstration videos.你:未被推荐AI 推荐顺序:
- RLBench (google-research/rlbench)
- RoboMimic (ARISE-Initiative/robomimic)
- Habitat (facebookresearch/habitat-lab)
- DeepMind Lab (deepmind/lab)
- AI2-THOR (allenai/ai2thor)
- PyBullet (bulletphysics/bullet3)
AI 推荐了 6 个替代方案,却始终没点名 BeingBeyond/Being-H。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 completenesswarn
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 BeingBeyond/Being-H?passAI 明确点名了 BeingBeyond/Being-H
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 BeingBeyond/Being-H in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 BeingBeyond/Being-H
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 BeingBeyond/Being-H solve, and who is the primary audience?passAI 明确点名了 BeingBeyond/Being-H
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 BeingBeyond/Being-H 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/BeingBeyond/Being-H)<a href="https://repogeo.com/zh/r/BeingBeyond/Being-H"><img src="https://repogeo.com/badge/BeingBeyond/Being-H.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
BeingBeyond/Being-H — 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