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Manipulation of deformable linear objects (DLOs) in constrained environments is a challenging task. This paper describes a two-layered approach for placing DLOs on a flat surface using a single robot hand. The high-level layer is a novel…

Robotics · Computer Science 2025-03-12 I. Grinberg , A. Levin , E. D. Rimon

Manipulating deformable linear objects (DLOs) is challenging due to their complex dynamics and the need for safe interaction in contact-rich environments. Most existing models focus on shape prediction alone and fail to account for contact…

Robotics · Computer Science 2025-05-21 Yiting Zhang , Shichen Li

Deformable linear objects (DLOs) manipulation presents significant challenges due to DLOs' inherent high-dimensional state space and complex deformation dynamics. The wide-populated obstacles in realistic workspaces further complicate DLO…

Robotics · Computer Science 2026-01-01 Yunxi Tang , Tianqi Yang , Jing Huang , Xiangyu Chu , Kwok Wai Samuel Au

Manipulating deformable linear objects (DLOs) such as wires and cables is crucial in various applications like electronics assembly and medical surgeries. However, it faces challenges due to DLOs' infinite degrees of freedom, complex…

Robotics · Computer Science 2025-08-12 Yanzhao Yu , Haotian Yang , Junbo Tan , Xueqian Wang

The robotic manipulation of Deformable Linear Objects (DLOs) is a vital and challenging task that is important in many practical applications. Classical model-based approaches to this problem require an accurate model to capture how robot…

Robotics · Computer Science 2023-09-15 Piotr Kicki , Michał Bidziński , Krzysztof Walas

Constrained environments are common in practical applications of manipulating deformable linear objects (DLOs), where movements of both DLOs and robots should be constrained. This task is high-dimensional and highly constrained owing to the…

Robotics · Computer Science 2024-10-01 Mingrui Yu , Kangchen Lv , Changhao Wang , Yongpeng Jiang , Masayoshi Tomizuka , Xiang Li

Robotic manipulation of deformable linear objects (DLOs) is an active area of research, though emerging applications, like automotive wire harness installation, introduce constraints that have not been considered in prior work. Confined…

Robotics · Computer Science 2024-02-19 Tyler Toner , Vahidreza Molazadeh , Miguel Saez , Dawn M. Tilbury , Kira Barton

Industrial assembly of deformable linear objects (DLOs) such as cables offers great potential for many industries. However, DLOs pose several challenges for robot-based automation due to the inherent complexity of deformation and,…

Manipulating deformable linear objects (DLOs) to achieve desired shapes in constrained environments with obstacles is a meaningful but challenging task. Global planning is necessary for such a highly-constrained task; however, accurate…

Robotics · Computer Science 2023-02-20 Mingrui Yu , Kangchen Lv , Changhao Wang , Masayoshi Tomizuka , Xiang Li

While robotic manipulation of rigid objects is quite straightforward, coping with deformable objects is an open issue. More specifically, tasks like tying a knot, wiring a connector or even surgical suturing deal with the domain of…

Computer Vision and Pattern Recognition · Computer Science 2018-10-11 Daniele De Gregorio , Gianluca Palli , Luigi Di Stefano

Deformable linear object (DLO) manipulation is needed in many fields. Previous research on deformable linear object (DLO) manipulation has primarily involved parallel jaw gripper manipulation with fixed grasping positions. However, the…

Robotics · Computer Science 2023-12-27 Sun Zhaole , Jihong Zhu , Robert B. Fisher

This paper proposes a new control framework for manipulating soft objects. A Deep Reinforcement Learning (DRL) approach is used to make the shape of a deformable object reach a set of desired points by controlling a robotic arm which…

Studying the manipulation of deformable linear objects has significant practical applications in industry, including car manufacturing, textile production, and electronics automation. However, deformable linear object manipulation poses a…

Robotics · Computer Science 2023-07-20 Kejia Chen , Zhenshan Bing , Fan Wu , Yuan Meng , Andre Kraft , Sami Haddadin , Alois Knoll

Deformable object manipulation tasks have long been regarded as challenging robotic problems. However, until recently very little work has been done on the subject, with most robotic manipulation methods being developed for rigid objects.…

Robotics · Computer Science 2022-08-04 Rita Laezza , Yiannis Karayiannidis

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 robot motion affects DLO deformation), which are hard to…

Robotics · Computer Science 2022-08-30 Mingrui Yu , Kangchen Lv , Hanzhong Zhong , Shiji Song , Xiang Li

Coordinated robotic manipulation of deformable linear objects (DLOs), such as ropes and cables, has been widely studied; however, handling hybrid assemblies composed of both deformable and rigid elements in constrained environments remains…

Robotics · Computer Science 2026-03-16 Anees Peringal , Anup Teejo Mathew , Panagiotis liatsis , Federico Renda

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 deformations may occur during the manipulation process.…

Robotics · Computer Science 2023-12-12 Dezhong Tong , Andrew Choi , Longhui Qin , Weicheng Huang , Jungseock Joo , M. Khalid Jawed

While manipulating rigid objects is an extensively explored research topic, deformable linear object (DLO) manipulation seems significantly underdeveloped. A potential reason for this is the inherent difficulty in describing and observing…

Computer Vision and Pattern Recognition · Computer Science 2023-05-12 Piotr Kicki , Amadeusz Szymko , Krzysztof Walas

Manipulating three-dimensional (3D) deformable objects presents significant challenges for robotic systems due to their infinite-dimensional state space and complex deformable dynamics. This paper proposes a novel model-free approach for…

Robotics · Computer Science 2025-10-17 Ning Han , Gu Gong , Bin Zhang , Yuexuan Xu , Bohan Yang , Yunhui Liu , David Navarro-Alarcon

The manipulation of deformable linear objects (DLOs) via model-based control requires an accurate and computationally efficient dynamics model. Yet, data-driven DLO dynamics models require large training data sets while their predictions…

Robotics · Computer Science 2024-07-08 Shamil Mamedov , A. René Geist , Ruan Viljoen , Sebastian Trimpe , Jan Swevers
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