arXiv Open Access 2022

Recognising Known Configurations of Garments For Dual-Arm Robotic Flattening

Li Duan Gerardo Argon-Camarasa

Lihat Sumber

Abstrak

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.

Topik & Kata Kunci

cs.RO cs.CV

Penulis (2)

Li Duan

Gerardo Argon-Camarasa

Format Sitasi

APA MLA BibTeX

Duan, L., Argon-Camarasa, G. (2022). Recognising Known Configurations of Garments For Dual-Arm Robotic Flattening. https://arxiv.org/abs/2205.00225

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓