CLARU
Litian2002MIT

Robotics Papers Vector Database

Semantic search database over 63,381 academic papers from robotics, computer vision, and machine learning conferences (2023-2026) with BAAI/bge-m3 embeddings for vector-based retrieval.

Downloads32

Why This Matters for Physical AI

This dataset enables efficient semantic search and discovery across the robotics literature, facilitating meta-analysis and trend identification in physical AI research.

Technical Profile

Modalities
language
Data Format
LanceDB
Annotation Types
language_instructions
License
MIT
Part of the Robotics Papers Vector Database family

Access

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