RRepoGEO

REPOGEO REPORT · LITE

loco-3d/crocoddyl

Default branch devel · commit 30cbfb21 · scanned 6/21/2026, 5:56:48 PM

GitHub: 1,244 stars · 206 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
87 /100
Healthy
Category recall
2 / 2
Avg rank #1.0 when recommended
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 loco-3d/crocoddyl, 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
    Strengthen README introduction to highlight DDP/iLQR specialization

    Why:

    CURRENT
    Crocoddyl is an optimal control library for robot control under contact sequence. Its solvers are based on novel and efficient differential dynamic programming (DDP) algorithms.
    COPY-PASTE FIX
    Crocoddyl is an optimal control library for robot control under contact sequence, distinguished by its highly optimized implementation of Differential Dynamic Programming (DDP) and Iterative Linear Quadratic Regulator (iLQR) algorithms. It offers specialized, efficient solutions for complex robotic systems, unlike general-purpose non-linear programming solvers.
  • mediumhomepage#2
    Add homepage URL to About section

    Why:

    COPY-PASTE FIX
    https://gepettoweb.laas.fr/doc/loco-3d/crocoddyl/master/doxygen-html/
  • mediumcomparison#3
    Add a 'Related Projects' section to clarify relationships with dependencies and alternatives

    Why:

    COPY-PASTE FIX
    ## Related Projects and Comparison

**Crocoddyl** leverages **Pinocchio** for efficient robot dynamics and analytical derivatives; Pinocchio is a foundational dependency, not a direct competitor. While general-purpose non-linear programming (NLP) solvers like IPOPT and OSQP can solve optimal control problems, Crocoddyl is specifically designed and highly optimized for Differential Dynamic Programming (DDP) and Iterative Linear Quadratic Regulator (iLQR) algorithms, offering tailored performance for complex robotic systems with contact sequences.

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
2 / 2
100% of queries surface loco-3d/crocoddyl
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
13%
Of all named tools, what % are you?
Top rival
Pinocchio
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinocchio · recommended 2×
  2. Drake · recommended 2×
  3. IPOPT · recommended 1×
  4. OSQP · recommended 1×
  5. Snopt · recommended 1×
  • CATEGORY QUERY
    How to compute optimal control trajectories for robots with contact sequences?
    you: #1
    AI recommended (in order):
    1. Crocoddyl ← you
    2. Pinocchio
    3. IPOPT
    4. OSQP
    5. Drake
    6. Snopt
    7. OpenOCL
    8. Gekko
    9. ACADO Toolkit
    10. CasADi
    Show full AI answer
  • CATEGORY QUERY
    What are efficient libraries for differential dynamic programming in robot motion planning?
    you: #1
    AI recommended (in order):
    1. Crocoddyl ← you
    2. Pinocchio
    3. TrajOpt
    4. Drake
    5. PyBullet
    6. iLQR
    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 loco-3d/crocoddyl?
    pass
    AI named loco-3d/crocoddyl explicitly

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

  • If a team adopts loco-3d/crocoddyl in production, what risks or prerequisites should they evaluate first?
    pass
    AI named loco-3d/crocoddyl 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 loco-3d/crocoddyl solve, and who is the primary audience?
    pass
    AI named loco-3d/crocoddyl explicitly

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

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MARKDOWN (README)
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loco-3d/crocoddyl — 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