论文标题
识别已知的双臂机器人扁平服装的配置
Recognising Known Configurations of Garments For Dual-Arm Robotic Flattening
论文作者
论文摘要
机器人可变形的操纵是机器人行业的挑战，因为可变形物体具有复杂且各种物体状态。预测这些对象状态并更新操纵计划是耗时的，并且计算上很昂贵。在本文中，我们提出了学习已知的服装配置，以允许机器人识别服装状态，并选择一个预先设计的操纵计划以使衣服变平。
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.
