Prompt-to-Product: Generative Assembly via Bimanual Manipulation

Ruixuan Liu, Philip Huang, Ava Pun, Kangle Deng, Shobhit Aggarwal +6 more
8/28/2025
cs.ROcs.AI

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Abstract

Creating assembly products demands significant manual effort and expert knowledge in 1) designing the assembly and 2) constructing the product. This paper introduces Prompt-to-Product, an automated pipeline that generates real-world assembly products from natural language prompts. Specifically, we leverage LEGO bricks as the assembly platform and automate the process of creating brick assembly structures. Given the user design requirements, Prompt-to-Product generates physically buildable brick designs, and then leverages a bimanual robotic system to construct the real assembly products, bringing user imaginations into the real world. We conduct a comprehensive user study, and the results demonstrate that Prompt-to-Product significantly lowers the barrier and reduces manual effort in creating assembly products from imaginative ideas.

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Cite this paper

@article{liu2025prompttoproduct,
  title  = {Prompt-to-Product: Generative Assembly via Bimanual Manipulation},
  author = {Ruixuan Liu and Philip Huang and Ava Pun and Kangle Deng and Shobhit Aggarwal and Kevin Tang and Michelle Liu and Deva Ramanan and Jun-Yan Zhu and Jiaoyang Li and Changliu Liu},
  year   = {2025},
  eprint = {2508.21063},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2508.21063v1}
}

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