SCOPE: Smooth Convex Optimization for Planned Evolution of Deformable Linear Objects
Ali Jnadi, Hadi Salloum, Yaroslav Kholodov, Alexander Gasnikov, Karam Almaghout

TL;DR
SCOPE is a fast, convex-approximation framework for modeling deformable linear objects, enabling real-time smooth deformations with reduced computational cost while maintaining physical plausibility.
Contribution
The paper introduces SCOPE, a novel convex optimization-based method for deformable linear objects that improves speed and efficiency over traditional energy-based approaches.
Findings
SCOPE achieves real-time performance in simulations.
It maintains smooth, physically plausible deformations.
The method effectively handles geometric and length constraints.
Abstract
We present SCOPE, a fast and efficient framework for modeling and manipulating deformable linear objects (DLOs). Unlike conventional energy-based approaches, SCOPE leverages convex approximations to significantly reduce computational cost while maintaining smooth and physically plausible deformations. This trade-off between speed and accuracy makes the method particularly suitable for applications requiring real-time or near-real-time response. The effectiveness of the proposed framework is demonstrated through comprehensive simulation experiments, highlighting its ability to generate smooth shape trajectories under geometric and length constraints.
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Taxonomy
Topics3D Shape Modeling and Analysis · Topology Optimization in Engineering · Robot Manipulation and Learning
