RRepoGEO

REPOGEO REPORT · LITE

Psi-Robot/Awesome-VLA-Papers

Default branch main · commit bc4d6a4c · scanned 6/10/2026, 4:27:45 AM

GitHub: 544 stars · 21 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
22 /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
1 / 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 Psi-Robot/Awesome-VLA-Papers, 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
    Reposition README's opening to emphasize "awesome list" and "research papers"

    Why:

    CURRENT
    This repository contains the list of representative VLA works in the survey “*A Survey on Vision-Language-Action Models: An Action Tokenization Perspective*”, along with relevant reference materials.
    COPY-PASTE FIX
    This is an **awesome list** and curated collection of **research papers** on Vision-Language-Action (VLA) models, specifically those highlighted in the survey “*A Survey on Vision-Language-Action Models: An Action Tokenization Perspective*”. It serves as a comprehensive reference for researchers exploring VLA architectures and action tokenization.
  • mediumlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the content of the Creative Commons Attribution 4.0 International License (CC-BY-4.0), which is suitable for content lists.

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 Psi-Robot/Awesome-VLA-Papers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Perceiver IO
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Perceiver IO · recommended 2×
  2. CLIP · recommended 1×
  3. ROS · recommended 1×
  4. NVIDIA Isaac Sim · recommended 1×
  5. PaLM-E · recommended 1×
  • CATEGORY QUERY
    Need to research current approaches for integrating vision, language, and robotic action control.
    you: not recommended
    AI recommended (in order):
    1. CLIP
    2. ROS
    3. NVIDIA Isaac Sim
    4. PaLM-E
    5. Gato
    6. DETR
    7. DINO
    8. Perceiver IO
    9. VALL-E
    10. OpenAI Whisper
    11. RT-1
    12. RT-2
    13. Habitat
    14. RoboStack

    AI recommended 14 alternatives but never named Psi-Robot/Awesome-VLA-Papers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for academic papers explaining how to tokenize actions in vision-language models.
    you: not recommended
    AI recommended (in order):
    1. Perceiver IO
    2. VideoGPT
    3. VQ-VAE

    AI recommended 3 alternatives but never named Psi-Robot/Awesome-VLA-Papers. 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 Psi-Robot/Awesome-VLA-Papers?
    pass
    AI did not name Psi-Robot/Awesome-VLA-Papers — 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 Psi-Robot/Awesome-VLA-Papers in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Psi-Robot/Awesome-VLA-Papers 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 Psi-Robot/Awesome-VLA-Papers solve, and who is the primary audience?
    pass
    AI did not name Psi-Robot/Awesome-VLA-Papers — 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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Psi-Robot/Awesome-VLA-Papers — 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