RRepoGEO

REPOGEO REPORT · LITE

OpenQuadruped/spot_mini_mini

Default branch spot · commit c7e4905b · scanned 6/3/2026, 6:07:01 PM

GitHub: 926 stars · 191 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 OpenQuadruped/spot_mini_mini, 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
  • highreadme#1
    Add a concise project summary after the initial development note

    Why:

    CURRENT
    Note: development for this project was haulted in November 2020 to respect my NDA with my employer.
    
    ## Spot Mini Mini OpenAI Gym Environment
    COPY-PASTE FIX
    Note: development for this project was haulted in November 2020 to respect my NDA with my employer.
    
    This repository provides a **PyBullet-based OpenAI Gym environment for simulating and optimizing quadruped robot locomotion**, specifically designed for **reinforcement learning (RL) agents** and **sim-to-real gait modulation** using techniques like Bezier curves. It enables researchers and hobbyists to develop and test gaits for SpotMini-like robots without physical hardware.
    
    ## Spot Mini Mini OpenAI Gym Environment
  • mediumreadme#2
    Add a 'Key Features' section near the top of the README

    Why:

    COPY-PASTE FIX
    ### Key Features
    
    *   **OpenAI Gym Environment:** Train reinforcement learning agents for quadruped locomotion.
    *   **PyBullet Simulation:** A reliable and versatile simulator for SpotMini-like robots.
    *   **Gait Optimization:** Test and develop custom gait implementations (e.g., 12-point Bezier gait) with a GUI.
    *   **Sim-to-Real Focus:** Designed for dynamics and domain randomized gait modulation for real-world deployment.
  • lowcomparison#3
    Add a brief 'Why use Spot Mini Mini?' section to differentiate from general simulators

    Why:

    COPY-PASTE FIX
    ### Why use Spot Mini Mini?
    
    While general-purpose simulators like PyBullet, MuJoCo, and Gazebo offer broad capabilities, Spot Mini Mini provides a **dedicated, open-source, and affordable OpenAI Gym environment specifically tailored for quadruped robot locomotion and reinforcement learning**. It's built on PyBullet, offering a focused platform for developing and testing gaits for miniaturized, 3D-printable robots like the Spot Micro, making advanced robotics accessible to hobbyists and researchers.

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 OpenQuadruped/spot_mini_mini
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyBullet
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PyBullet · recommended 2×
  2. MuJoCo · recommended 2×
  3. Gazebo · recommended 2×
  4. Isaac Gym / Isaac Sim · recommended 1×
  5. Webots · recommended 1×
  • CATEGORY QUERY
    Looking for a simulation environment to train reinforcement learning agents for quadruped robot locomotion.
    you: not recommended
    AI recommended (in order):
    1. Isaac Gym / Isaac Sim
    2. PyBullet
    3. MuJoCo
    4. Gazebo
    5. Webots
    6. CoppeliaSim

    AI recommended 6 alternatives but never named OpenQuadruped/spot_mini_mini. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I simulate and optimize quadruped robot gaits for real-world deployment?
    you: not recommended
    AI recommended (in order):
    1. PyBullet
    2. Gazebo
    3. MuJoCo
    4. OpenAI Gym
    5. Stable Baselines3
    6. Pinocchio
    7. Crocoddyl
    8. ROS

    AI recommended 8 alternatives but never named OpenQuadruped/spot_mini_mini. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 OpenQuadruped/spot_mini_mini?
    pass
    AI named OpenQuadruped/spot_mini_mini explicitly

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

  • If a team adopts OpenQuadruped/spot_mini_mini in production, what risks or prerequisites should they evaluate first?
    pass
    AI named OpenQuadruped/spot_mini_mini 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 OpenQuadruped/spot_mini_mini solve, and who is the primary audience?
    pass
    AI named OpenQuadruped/spot_mini_mini explicitly

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

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OpenQuadruped/spot_mini_mini — 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