RRepoGEO

REPOGEO REPORT · LITE

Psi-Robot/DexGraspVLA

Default branch main · commit 0144c792 · scanned 6/2/2026, 2:33:05 AM

GitHub: 529 stars · 43 forks

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 Psi-Robot/DexGraspVLA, 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 opening to highlight unique focus on dexterous grasping

    Why:

    CURRENT
    DexGraspVLA is a hierarchical vision-language-action framework that reaches a 90+% success rate in dexterous grasping in cluttered scenes under thousands of unseen object, lighting, and background combinations in a "zero-shot" real-world environment.
    COPY-PASTE FIX
    DexGraspVLA is a **pioneering hierarchical vision-language-action (VLA) framework specifically designed for general dexterous grasping**, achieving a 90+% success rate in cluttered scenes under thousands of unseen object, lighting, and background combinations in a "zero-shot" real-world environment.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root, choosing a suitable open-source license such as MIT or Apache-2.0.

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/DexGraspVLA
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-3 (and successors)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-3 (and successors) · recommended 1×
  2. Google's RT-X · recommended 1×
  3. Meta's Code as Policies (CaP) · recommended 1×
  4. Habitat · recommended 1×
  5. NVIDIA Isaac Sim · recommended 1×
  • CATEGORY QUERY
    How to implement zero-shot dexterous grasping for robots in complex, cluttered environments?
    you: not recommended
    AI recommended (in order):
    1. GPT-3 (and successors)
    2. Google's RT-X
    3. Meta's Code as Policies (CaP)
    4. Habitat
    5. NVIDIA Isaac Sim
    6. GraspNet-1B
    7. Contact-GraspNet
    8. ROS (Robot Operating System)
    9. MoveIt!
    10. Dex-Net

    AI recommended 10 alternatives but never named Psi-Robot/DexGraspVLA. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a vision-language-action framework for robust robotic manipulation and long-horizon tasks.
    you: not recommended
    AI recommended (in order):
    1. OpenVLA
    2. RoboCat
    3. RT-X
    4. ACT
    5. RLBench
    6. Franka Emika Panda
    7. ROS
    8. MoveIt
    9. OpenAI GPT-4V
    10. Google Gemini

    AI recommended 10 alternatives but never named Psi-Robot/DexGraspVLA. 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/DexGraspVLA?
    pass
    AI named Psi-Robot/DexGraspVLA explicitly

    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/DexGraspVLA in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Psi-Robot/DexGraspVLA 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/DexGraspVLA solve, and who is the primary audience?
    pass
    AI named Psi-Robot/DexGraspVLA explicitly

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

Embed your GEO score

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MARKDOWN (README)
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Psi-Robot/DexGraspVLA — 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