StableLego: Stability Analysis of Block Stacking Assembly
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Abstract (arXiv)
Structural stability is a necessary condition for successful construction of an assembly. However, designing a stable assembly requires a non-trivial effort since a slight variation in the design could significantly affect the structural stability. To address the challenge, this paper studies the stability of assembly structures, in particular, block stacking assembly. The paper proposes a new optimization formulation, which optimizes over force balancing equations, for inferring the structural stability of 3D block stacking structures. The proposed stability analysis is verified on hand-crafted Lego examples. The experiment results demonstrate that the proposed method can correctly predict whether the structure is stable. In addition, it outperforms the existing methods since it can accurately locate the weakest parts in the design, and more importantly, solve any given assembly structures. To further validate the proposed method, we provide textitStableLego: a comprehensive dataset including 50k+ 3D objects with their Lego layouts. We test the proposed stability analysis and include the stability inference for each corresponding object in StableLego. Our code and the dataset are available at https://github.com/intelligent-control-lab/StableLego.
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Feb 2024.
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Citing papers per year: 2024: 3; 2025: 2; 2026: 4.
9 papers.
- 2025Generating Physically Stable and Buildable Brick Structures from Textcited by 24
- 2024A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Partscited by 9
- 2024Physics-Aware Combinatorial Assembly Sequence Planning using Data-free Action Maskingcited by 5
- 2026Rollback-Free Stable Brick Structures Generationcited by 2
- 2026BrickAnything: Geometry-Conditioned Buildable Brick Generation with Structure-Aware Tokenizationcited by 2
- 2024AssemblyComplete: 3D Combinatorial Construction with Deep Reinforcement Learningcited by 1
- 2025Prompt-to-Product: Generative Assembly via Bimanual Manipulationcited by 1
- 2026CRAG: Can 3D Generative Models Help 3D Assembly?cited by 1
- 2026ScaffoldM3C: A Multimodal Sequential Monte Carlo Framework for Generative Stable Construction Planningcited by 0
- 2026ScaffoldM3C: A Multimodal Sequential Monte Carlo Framework for Generative Stable Construction Planning30 Sep 2026
- 2026BrickAnything: Geometry-Conditioned Buildable Brick Generation with Structure-Aware Tokenization25 May 2026
- 2026Rollback-Free Stable Brick Structures Generation7 May 2026
- 2026CRAG: Can 3D Generative Models Help 3D Assembly?26 Feb 2026
- 2025Prompt-to-Product: Generative Assembly via Bimanual Manipulation28 Aug 2025
- 2025Generating Physically Stable and Buildable Brick Structures from Text8 May 2025
- 2024AssemblyComplete: 3D Combinatorial Construction with Deep Reinforcement Learning20 Oct 2024
- 2024A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Parts18 Oct 2024
- 2024Physics-Aware Combinatorial Assembly Sequence Planning using Data-free Action Masking19 Aug 2024