Recognising Known Configurations of Garments For Dual-Arm Robotic Flattening

Duan, L. and Aragon-Camarasa, G. (2022) Recognising Known Configurations of Garments For Dual-Arm Robotic Flattening. In: 2022 4th International Conference on Robotics and Computer Vision (ICRCV 2022), Wuhan, China, 25-27 September 2022, pp. 340-344. ISBN 9781665481700 (doi: 10.1109/ICRCV55858.2022.9953186)

Abstract

Robotic deformable-object manipulation is a challenge in the robotic industry because deformable objects have complicated and various object states. Predicting those object states and updating manipulation planning is time-consuming and computationally expensive. In this paper, we propose learning known configurations of garments to allow a robot to recognise garment states and choose a pre-designed manipulation plan for garment flattening.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Duan, Mr Li and Aragon Camarasa, Dr Gerardo
• Authors: Duan, L., and Aragon-Camarasa, G.
• College/School: College of Science and Engineering > School of Computing Science
• ISBN: 9781665481700
• Copyright Holders: Copyright © 2022 IEEE
• First Published: First published in 2022 4th International Conference on Robotics and Computer Vision (ICRCV)
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

Related URLs

• Organisation
• Publisher