Type independent hierarchical analysis for the recognition of folded garments’ configuration
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Mechanical Engineering,Engineering (miscellaneous),Computational Mechanics
Link
https://link.springer.com/content/pdf/10.1007/s11370-021-00365-8.pdf
Reference25 articles.
1. Triantafyllou D, Mariolis I, Kargakos A, Malassiotis S, Aspragathos N (2016) A geometric approach to robotic unfolding of garments. J Robotics Auton Syst 75:233–243
2. Triantafyllou D, Aspragathos N (2019) Upper layer extraction of a folded garment towards unfolding by a robot. In: RAAD pp 597–604
3. Tu Z, Chen X (2014) Junction detection based on line segments. In: 9th IEEE conference on industrial electronics and applications, Hangzhou, pp 1231–1234
4. Doumanoglou A, Kim T K, Zhao X, Malassiotis S (2014) Active random forests: an application to autonomous clothes unfolding. In: ECCV 2014: computer vision—ECCV, pp 644–658
5. Doumanoglou A, Kargakos A, Kim TK, Malassiotis S (2014) Autonomous active recognition and unfolding of clothes using random decision forests and probabilistic planning. In: IEEE international conference on robotics and automation pp 987–993
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Type and Fabric Agnostic Methods for Robotic Unfolding of Folded Garments;Journal of Intelligent & Robotic Systems;2022-07
2. A Review of Sensors Used on Fabric-Handling Robots;Machines;2022-01-28
3. Garment Type Agnostic Robotic Unfolding of Garments from Random Configuration;Advances in Service and Industrial Robotics;2022
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