Tracking linear deformable objects using slicing method

Abstract

In this paper, an efficient novel method for tracking the linear deformable objects (LDOs) in real time is proposed. The method is developed based on recursively slicing a pointcloud into smaller pointclouds with sufficiently small variance. The performance of this method is investigated through a series of experiments with various camera resolutions in simulation when a robot end effector tracking an LDO using an RGBD camera, and in real word when the camera tracks a rope during a swing. The performance of the proposed method is compared with another state-of-the-art technique and the outcome is reported here.

Publication DOI: https://doi.org/10.1017/S0263574721001065
Divisions: College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies
College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies > Applied AI & Robotics
Aston University (General)
Funding Information: This research was conducted as part of the project called “Reuse and Recycling of Lithium-Ion Batteries” (RELIB). This work was supported by the Faraday Institution [grant number FIRG005].
Additional Information: Copyright © The Author(s), 2021. Published by Cambridge University Press. This is an open access article distributed under the terms of the Creative Commons CC BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Uncontrolled Keywords: cable management,deformable object,kinematic control,real-time tracking,slicing
Publication ISSN: 1469-8668
Data Access Statement: The data that support the findings of this study are openly available in Figshare (https://figshare.com/s/9c24dda2aa383d38af1a) with doi (10.6084/m9.figshare.12084996)
Last Modified: 01 Sep 2025 07:39
Date Deposited: 29 Aug 2025 13:45
Full Text Link:
Related URLs: https://www.cam ... A868DFB84414462 (Publisher URL)
PURE Output Type: Article
Published Date: 2022-04
Published Online Date: 2021-08-09
Accepted Date: 2021-07-05
Authors: Rastegarpanah, Alireza (ORCID Profile 0000-0003-4264-6857)
Howard, Rhys
Stolkin, Rustam

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