RoboDesign1M

IROS 2026 · 2026

RoboDesign1M introduces a large-scale dataset and foundation-model benchmark for robotic mechanism and design understanding.

The project focuses on multimodal robotic design data at scale, supporting downstream tasks such as retrieval, generation, and broader AI-assisted robot design workflows.

Paper: arXiv

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Publication

T. Le, T. Nguyen, Q. Tran, Q. Nguyen, B. Huang, H. Nguyen, M. N. Vu, T. D. Ta, and A. Nguyen, “RoboDesign1M: A Large-scale Dataset for Robot Design Understanding,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026. arXiv PDF DOI.

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