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Recognising Known Configurations of Garments For Dual-Arm Robotic Flattening (2205.00225v2)
Published 30 Apr 2022 in cs.RO and cs.CV
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.