RobotDesign1M: A Large-scale Multimodal Dataset for Robot Design

RobotDesign1M is a large-scale, multimodal dataset built from image–text data curated from scientific literature across a wide range of robotics domains. It is designed by Fsoft-AIC to support research on design-aware foundation models, including design image generation, visual question answering, and design image retrieval.

Use Cases

• Generate robot design images based on textual descriptions from scientific literature.
• Answer visual questions about robot designs using the multimodal image–text pairs.
• Retrieve relevant robot design images from a large-scale collection using text queries.

Strengths

• Large-scale dataset built from scientific literature across a wide range of robotics domains.
• Multimodal structure combining images and text, designed for foundation model research.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Fsoft-AIC

Collection Method

Curated from image–text data in scientific literature.

Freshness

Last updated 2026-06-27 04:11:06; freshness should be verified.