87 citations · 97 across the 3 of their papers we have counts for
3 papers
cs.RO2022★ 87 cited
Global Model Learning for Large Deformation Control of Elastic Deformable Linear Objects: An Efficient and Adaptive Approach
Mingrui Yu, Kangchen Lv, Hanzhong Zhong +2
Robotic manipulation of deformable linear objects (DLOs) has broad application prospects in many fields. However, a key issue is to obtain the exact deformation models (i.e., how r…
cs.RO2021★ 3 cited
Shape Control of Deformable Linear Objects with Offline and Online Learning of Local Linear Deformation Models
Mingrui Yu, Hanzhong Zhong, Xiang Li
The shape control of deformable linear objects (DLOs) is challenging, since it is difficult to obtain the deformation models. Previous studies often approximate the models in purel…
cs.RO2021★ 7 cited
Adaptive Control for Robotic Manipulation of Deformable Linear Objects with Offline and Online Learning of Unknown Models
Mingrui Yu, Hanzhong Zhong, Fangxun Zhong +1
The deformable linear objects (DLOs) are common in both industrial and domestic applications, such as wires, cables, ropes. Because of its highly deformable nature, it is difficult…