Differentiable Material Point Method for the Control of Deformable Objects

Fuente: arXiv
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Autori principali: Bolliger, Diego, Fadini, Gabriele, Bambach, Markus, Rupenyan, Alisa
Natura: Preprint
Pubblicazione: 2025
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author Bolliger, Diego
Fadini, Gabriele
Bambach, Markus
Rupenyan, Alisa
author_facet Bolliger, Diego
Fadini, Gabriele
Bambach, Markus
Rupenyan, Alisa
contents Controlling the deformation of flexible objects is challenging due to their non-linear dynamics and high-dimensional configuration space. This work presents a differentiable Material Point Method (MPM) simulator targeted at control applications. We exploit the differentiability of the simulator to optimize a control trajectory in an active damping problem for a hyperelastic rope. The simulator effectively minimizes the kinetic energy of the rope around 2$\times$ faster than a baseline MPPI method and to a 20% lower energy level, while using about 3% of the computation time.
format Preprint
id arxiv_https___arxiv_org_abs_2512_13214
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Differentiable Material Point Method for the Control of Deformable Objects
Bolliger, Diego
Fadini, Gabriele
Bambach, Markus
Rupenyan, Alisa
Robotics
Systems and Control
H.1.1; J.2; I.2.8; I.6.0; I.6.5
Controlling the deformation of flexible objects is challenging due to their non-linear dynamics and high-dimensional configuration space. This work presents a differentiable Material Point Method (MPM) simulator targeted at control applications. We exploit the differentiability of the simulator to optimize a control trajectory in an active damping problem for a hyperelastic rope. The simulator effectively minimizes the kinetic energy of the rope around 2$\times$ faster than a baseline MPPI method and to a 20% lower energy level, while using about 3% of the computation time.
title Differentiable Material Point Method for the Control of Deformable Objects
topic Robotics
Systems and Control
H.1.1; J.2; I.2.8; I.6.0; I.6.5
url https://arxiv.org/abs/2512.13214