RRepoGEO

REPOGEO REPORT · LITE

Genesis-Embodied-AI/RoboGen

Default branch main · commit 486612cd · scanned 6/30/2026, 9:03:32 AM

GitHub: 1,209 stars · 109 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
35 /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
3 / 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 Genesis-Embodied-AI/RoboGen, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    generative-ai, robotics, embodied-ai, reinforcement-learning, simulation, task-generation, skill-learning, icml-2024
  • highhomepage#2
    Add the project homepage URL to the About section

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://robogen-ai.github.io/
  • mediumreadme#3
    Reposition the README's core identity statement for clarity

    Why:

    CURRENT
    <div align="center">
      
      
      # RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation
      ### ICML 2024
    </div>
    COPY-PASTE FIX
    <div align="center">
      # RoboGen: A Generative and Self-Guided Robotic Agent for Autonomous Skill Acquisition
      ## Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation (ICML 2024)
    </div>

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 Genesis-Embodied-AI/RoboGen
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ray-project/ray
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ray-project/ray · recommended 2×
  2. Robotics Operating System (ROS) · recommended 1×
  3. DLR-RM/stable-baselines3 · recommended 1×
  4. Lightning-AI/lightning-bolts · recommended 1×
  5. PlaNet · recommended 1×
  • CATEGORY QUERY
    What frameworks enable robots to autonomously generate new tasks and continuously acquire skills?
    you: not recommended
    AI recommended (in order):
    1. Robotics Operating System (ROS)
    2. RLlib (ray-project/ray)
    3. Ray (ray-project/ray)
    4. Stable BasES3 (DLR-RM/stable-baselines3)
    5. PyTorch-Lightning-Bolts (Lightning-AI/lightning-bolts)
    6. PlaNet
    7. OMPL (ompl/ompl)
    8. MoveIt (ros-planning/moveit)
    9. KnowRob (knowrob/knowrob)
    10. DeepMind's Perceiver IO
    11. Gato
    12. OpenAI's Robotics Platform
    13. Dactyl
    14. GPT-3
    15. GPT-4
    16. Google's SayCan
    17. PaLM-E
    18. RoboStack (RoboStack/robostack)
    19. NVIDIA Isaac Sim
    20. Omniverse

    AI recommended 20 alternatives but never named Genesis-Embodied-AI/RoboGen. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I use generative AI to create diverse simulation environments for robot training?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Omniverse
    2. Isaac Sim
    3. Unity 3D
    4. ML-Agents (Unity-Technologies/ml-agents)
    5. MapMagic 2
    6. Unreal Engine
    7. NVIDIA Isaac Sim Plugin
    8. Unreal Engine PCG framework
    9. Blender
    10. ANT Landscape
    11. Gazebo (osrf/gazebo)
    12. PyBullet (bulletphysics/bullet3)
    13. DeepMind Lab (deepmind/lab)

    AI recommended 13 alternatives but never named Genesis-Embodied-AI/RoboGen. 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 Genesis-Embodied-AI/RoboGen?
    pass
    AI named Genesis-Embodied-AI/RoboGen explicitly

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

  • If a team adopts Genesis-Embodied-AI/RoboGen in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Genesis-Embodied-AI/RoboGen explicitly

    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 Genesis-Embodied-AI/RoboGen solve, and who is the primary audience?
    pass
    AI named Genesis-Embodied-AI/RoboGen explicitly

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

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Genesis-Embodied-AI/RoboGen — 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