RRepoGEO

REPOGEO REPORT · LITE

qiayuanl/legged_control

Default branch master · commit a7f381c0 · scanned 5/26/2026, 9:47:32 PM

GitHub: 1,690 stars · 353 forks

AI VISIBILITY SCORE
28 /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
2 / 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 qiayuanl/legged_control, 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

2 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 immediately after the H1

    Why:

    CURRENT
    # legged_control
    COPY-PASTE FIX
    # legged_control

This repository provides an NMPC, WBC, state estimation, and sim2real framework for legged robots based on OCS2 and ros-controls.
  • mediumhomepage#2
    Set the repository URL as the homepage

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://github.com/qiayuanl/legged_control

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 qiayuanl/legged_control
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Isaac Gym
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Isaac Gym · recommended 2×
  2. loco-3d/crocoddyl · recommended 1×
  3. osqp/osqp · recommended 1×
  4. stack-of-tasks/pinocchio · recommended 1×
  5. robotology/robcodegen · recommended 1×
  • CATEGORY QUERY
    What are robust control frameworks for dynamic legged robot locomotion and state estimation?
    you: not recommended
    AI recommended (in order):
    1. Crocoddyl (loco-3d/crocoddyl)
    2. OSQP (osqp/osqp)
    3. Pinocchio (stack-of-tasks/pinocchio)
    4. RobCoGen (robotology/robcodegen)
    5. robot_localization (cra-ros-pkg/robot_localization)
    6. Eigen
    7. Isaac Gym
    8. PyTorch (pytorch/pytorch)
    9. TensorFlow (tensorflow/tensorflow)
    10. Stable Baselines3 (DLR-RM/stable-baselines3)
    11. MATLAB/Simulink
    12. KDL (orocos/orocos_kinematics_dynamics)
    13. GTSAM (borglab/gtsam)

    AI recommended 13 alternatives but never named qiayuanl/legged_control. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I implement sim2real transfer for advanced whole-body control of quadrupedal robots?
    you: not recommended
    AI recommended (in order):
    1. Isaac Gym
    2. MuJoCo
    3. PyBullet
    4. Gazebo
    5. RoboStack
    6. Unity
    7. DeepMind Control Suite

    AI recommended 7 alternatives but never named qiayuanl/legged_control. 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 qiayuanl/legged_control?
    pass
    AI did not name qiayuanl/legged_control — 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 qiayuanl/legged_control in production, what risks or prerequisites should they evaluate first?
    pass
    AI named qiayuanl/legged_control 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 qiayuanl/legged_control solve, and who is the primary audience?
    pass
    AI named qiayuanl/legged_control explicitly

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

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qiayuanl/legged_control — 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