M Yu, K Lv, H Zhong, S Song… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The 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 (ie …
Constrained environments, compared with open spaces without other objects, are more common in practical applications of manipulating deformable linear objects (DLOs) by …
Manipulating deformable linear objects (DLOs) is a challenging task for a robotic system due to their unpredictable configuration, high-dimensional state space and complex nonlinear …
Deformable linear objects (DLOs), such as rods, cables, and ropes, play important roles in daily life. However, manipulation of DLOs is challenging as large geometrically nonlinear …
Most research on deformable linear object (DLO) manipulation assumes rigid grasping. However, beyond rigid grasping and re-grasping, in-hand following is also an essential skill …
A Monguzzi, T Dotti, L Fattorelli, AM Zanchettin… - Robotics and Computer …, 2025 - Elsevier
The robotic manipulation of deformable linear objects (DLOs), such as cables, is a valuable yet complex skill. In particular, to realize tasks like cable routing and wire harness assembly …
R Lee, J Abou-Chakra, F Zhang… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Fabric manipulation is a long-standing challenge in robotics due to the enormous state space and complex dynamics. Learning approaches stand out as promising for this domain …
C Li, Z Ai, T Wu, X Li, W Ding, H Xu - arXiv preprint arXiv:2402.07648, 2024 - arxiv.org
Manipulating deformable objects is a ubiquitous task in household environments, demanding adequate representation and accurate dynamics prediction due to the objects' …
C Saghour, D Navarro-Alarcón… - … Journal of Robotics …, 2024 - journals.sagepub.com
In this work, we propose a vision-based and finite element method (FEM)-based controller to automate the 3D shaping of soft objects with dual-arm robots. Our controller relies on a data …