Deform360: A Massive Multi-view Visuotactile Dataset for Deformable World Models
Predicting object dynamics (i.e., world modeling) is a fundamental challenge for robotic manipulation, and modeling deformable objects presents a particularly difficult case due to their high-dimensional state spaces and complex material properties. While current world models approach this through two distinct paradigms: learning the dynamics over the 2D pixel space or more explicit 3D geometric space. A systematic understanding of their relative strengths and limitations remains elusive due to the lack of diverse, large-scale real-world data. To address this, we present Deform360, a large-scale visuotactile dataset featuring 198 daily-life objects, 1,980 interaction sequences, and over 2...
| Authors | Hongyu Li, Wanjia Fu, Xiaoyan Cong et al. |
|---|---|
| Primary category | cs.RO |
| Published | 6 July 2026 |
| Last updated at source | 6 July 2026 |
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- liuyibing/deform360Dataset · cited by
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Models and datasets referencing this paper
- brownu/deform360Dataset
- liuyibing/deform360Dataset
- liuyibing/2deform360Dataset
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