Model-Free Large-Scale Cloth Spreading With Mobile Manipulation: Initial Feasibility Study
August 21, 2023 Β· Declared Dead Β· π 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)
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Authors
Xiangyu Chu+, Shengzhi Wang+, Minjian Feng, Jiaxi Zheng, Yuxuan Zhao, Jing Huang, K. W. Samuel Au
arXiv ID
2308.10401
Category
cs.RO: Robotics
Cross-listed
eess.SY
Citations
2
Venue
2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)
Last Checked
4 months ago
Abstract
Cloth manipulation is common in domestic and service tasks, and most studies use fixed-base manipulators to manipulate objects whose sizes are relatively small with respect to the manipulators' workspace, such as towels, shirts, and rags. In contrast, manipulation of large-scale cloth, such as bed making and tablecloth spreading, poses additional challenges of reachability and manipulation control. To address them, this paper presents a novel framework to spread large-scale cloth, with a single-arm mobile manipulator that can solve the reachability issue, for an initial feasibility study. On the manipulation control side, without modeling highly deformable cloth, a vision-based manipulation control scheme is applied and based on an online-update Jacobian matrix mapping from selected feature points to the end-effector motion. To coordinate the control of the manipulator and mobile platform, Behavior Trees (BTs) are used because of their modularity. Finally, experiments are conducted, including validation of the model-free manipulation control for cloth spreading in different conditions and the large-scale cloth spreading framework. The experimental results demonstrate the large-scale cloth spreading task feasibility with a single-arm mobile manipulator and the model-free deformation controller.
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