RRepoGEO

REPOGEO REPORT · LITE

zchoi/Awesome-Embodied-Robotics-and-Agent

Default branch main · commit 3267cf21 · scanned 6/24/2026, 9:33:16 AM

GitHub: 1,819 stars · 98 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
15 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
0 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface zchoi/Awesome-Embodied-Robotics-and-Agent, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Enhance the About description to highlight unique value

    Why:

    CURRENT
    This is a curated list of "Embodied AI or robot with Large Language Models" research. Watch this repository for the latest updates! 🔥
    COPY-PASTE FIX
    A definitive, curated list of cutting-edge research on Embodied AI and robotics with Large Language Models (LLMs) and Vision-Language Models (VLMs), regularly updated to provide researchers with the latest advancements and key papers.
  • highhomepage#2
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/zchoi/Awesome-Embodied-Robotics-and-Agent
  • mediumreadme#3
    Refine the README's opening sentence for clarity and value

    Why:

    CURRENT
    This is a curated list of "Embodied robotics or agent with Vision-Language Models (VLMs) and Large Language Models (LLMs)" research which is maintained by haonan.
    COPY-PASTE FIX
    This definitive, curated list compiles cutting-edge research on Embodied Robotics and Agents, specifically focusing on advancements with Vision-Language Models (VLMs) and Large Language Models (LLMs), maintained by haonan to offer researchers the most impactful papers and resources.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface zchoi/Awesome-Embodied-Robotics-and-Agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Scholar
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Scholar · recommended 1×
  2. arXiv · recommended 1×
  3. Semantic Scholar · recommended 1×
  4. Papers With Code · recommended 1×
  5. NeurIPS · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive list of research on embodied AI with large language models?
    you: not recommended
    AI recommended (in order):
    1. Google Scholar
    2. arXiv
    3. Semantic Scholar
    4. Papers With Code
    5. NeurIPS
    6. ICML
    7. ICLR
    8. RSS
    9. CoRL
    10. ICRA
    11. IROS
    12. Google DeepMind
    13. FAIR
    14. OpenAI
    15. Stanford AI Lab
    16. MIT CSAIL
    17. UC Berkeley AI Research
    18. Twitter (X)
    19. LinkedIn

    AI recommended 19 alternatives but never named zchoi/Awesome-Embodied-Robotics-and-Agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the latest advancements in using LLMs for robotic navigation and planning algorithms?
    you: not recommended
    AI recommended (in order):
    1. SayCan
    2. InnerMonologue
    3. Code as Policies
    4. ProgPrompt
    5. VoxPoser
    6. LM-Nav
    7. ALOHA
    8. RT-X
    9. OpenVLA
    10. Mobile ALOHA

    AI recommended 10 alternatives but never named zchoi/Awesome-Embodied-Robotics-and-Agent. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of zchoi/Awesome-Embodied-Robotics-and-Agent?
    pass
    AI did not name zchoi/Awesome-Embodied-Robotics-and-Agent — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts zchoi/Awesome-Embodied-Robotics-and-Agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name zchoi/Awesome-Embodied-Robotics-and-Agent — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo zchoi/Awesome-Embodied-Robotics-and-Agent solve, and who is the primary audience?
    pass
    AI did not name zchoi/Awesome-Embodied-Robotics-and-Agent — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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zchoi/Awesome-Embodied-Robotics-and-Agent — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite