PinchBot: Long-Horizon Deformable Manipulation with Guided Diffusion Policy

Fuente: arXiv
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Hauptverfasser: Bartsch, Alison, Car, Arvind, Farimani, Amir Barati
Format: Preprint
Veröffentlicht: 2025
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author Bartsch, Alison
Car, Arvind
Farimani, Amir Barati
author_facet Bartsch, Alison
Car, Arvind
Farimani, Amir Barati
contents Pottery creation is a complicated art form that requires dexterous, precise and delicate actions to slowly morph a block of clay to a meaningful, and often useful 3D goal shape. In this work, we aim to create a robotic system that can create simple pottery goals with only pinch-based actions. This pinch pottery task allows us to explore the challenges of a highly multi-modal and long-horizon deformable manipulation task. To this end, we present PinchBot, a goal-conditioned diffusion policy model that when combined with pre-trained 3D point cloud embeddings, task progress prediction and collision-constrained action projection, is able to successfully create a variety of simple pottery goals. For experimental videos and access to the demonstration dataset, please visit our project website: https://sites.google.com/andrew.cmu.edu/pinchbot/home.
format Preprint
id arxiv_https___arxiv_org_abs_2507_17846
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle PinchBot: Long-Horizon Deformable Manipulation with Guided Diffusion Policy
Bartsch, Alison
Car, Arvind
Farimani, Amir Barati
Robotics
Pottery creation is a complicated art form that requires dexterous, precise and delicate actions to slowly morph a block of clay to a meaningful, and often useful 3D goal shape. In this work, we aim to create a robotic system that can create simple pottery goals with only pinch-based actions. This pinch pottery task allows us to explore the challenges of a highly multi-modal and long-horizon deformable manipulation task. To this end, we present PinchBot, a goal-conditioned diffusion policy model that when combined with pre-trained 3D point cloud embeddings, task progress prediction and collision-constrained action projection, is able to successfully create a variety of simple pottery goals. For experimental videos and access to the demonstration dataset, please visit our project website: https://sites.google.com/andrew.cmu.edu/pinchbot/home.
title PinchBot: Long-Horizon Deformable Manipulation with Guided Diffusion Policy
topic Robotics
url https://arxiv.org/abs/2507.17846