Visual Sculpting: Visually-Aligned Planning Representations for Long-Horizon Robot Clay Sculpting
Abstract
Clay sculpting is a nuanced, artistic task involving dexterous manipulation with long-horizon planning to achieve high-level goals. As a robotics problem, we formulate clay sculpting as a shape-to-shape matching challenge. Prior deformable object manipulation work either requires retraining a policy per goal or relies on dynamics models which represent state as sparse point clouds which do not capture important clay features, such as textures, well. We present a method for modeling the dynamics of deformable materials and planning for robotic sculpting in a representation that is visually-aligned, capturing lighting and texture features. With three different deformable materials and various end-effectors, we demonstrate that our dynamics model is comparable in performance to the state-of-the-art with the added benefit of being compatible with visual planning. Our actions are represented as parametrized pushes into clay with a single end-effector, which proved to be suitable for long-horizon (>100 actions) clay relief sculptures. Lastly, we show the benefits of planning in a visually-aligned representation, but also provide analysis providing evidence as to why this representation is challenging to plan in compared to 3D representations.
Cite
@article{arxiv.2605.17556,
title = {Visual Sculpting: Visually-Aligned Planning Representations for Long-Horizon Robot Clay Sculpting},
author = {Peter Schaldenbrand and Jean Oh},
journal= {arXiv preprint arXiv:2605.17556},
year = {2026}
}
Comments
8 pages, 14 figures. Accepted for publication in IEEE Robotics and Automation Letters (RA-L)