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Manipulation of deformable Linear objects (DLOs), including iron wire, rubber, silk, and nylon rope, is ubiquitous in daily life. These objects exhibit diverse physical properties, such as Young$'$s modulus and bending stiffness.Such…

机器人学 · 计算机科学 2024-11-01 Mingen Li , Changhyun Choi

This work introduces an analytical approach for detecting and estimating external forces acting on deformable linear objects (DLOs) using only their observed shapes. In many robot-wire interaction tasks, contact occurs not at the…

机器人学 · 计算机科学 2026-02-03 Qi Jing Chen , Shilin Shan , Timothy Bretl , Quang-Cuong Pham

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…

机器人学 · 计算机科学 2025-05-21 Yiting Zhang , Shichen Li

Manipulation of deformable objects is a desired skill in making robots ubiquitous in manufacturing, service, healthcare, and security. Deformable objects are common in our daily lives, e.g., wires, clothes, bed sheets, etc., and are…

机器人学 · 计算机科学 2020-07-17 Peng Chang , Taskin Padir

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…

机器人学 · 计算机科学 2024-07-08 Shamil Mamedov , A. René Geist , Ruan Viljoen , Sebastian Trimpe , Jan Swevers

This paper presents a novel cross-modal visuo-tactile perception framework for the 3D shape reconstruction of deformable linear objects (DLOs), with a specific focus on cables subject to severe visual occlusions. Unlike existing methods…

机器人学 · 计算机科学 2026-01-21 Raffaele Mazza , Ciro Natale , Pietro Falco

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…

计算机视觉与模式识别 · 计算机科学 2018-10-11 Daniele De Gregorio , Gianluca Palli , Luigi Di Stefano

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…

机器人学 · 计算机科学 2024-02-19 Tyler Toner , Vahidreza Molazadeh , Miguel Saez , Dawn M. Tilbury , Kira Barton

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…

机器人学 · 计算机科学 2025-08-12 Yanzhao Yu , Haotian Yang , Junbo Tan , Xueqian Wang

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,…

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 for the robot to reproduce human's dexterous skills on…

机器人学 · 计算机科学 2021-07-02 Mingrui Yu , Hanzhong Zhong , Fangxun Zhong , Xiang Li

Tracing - estimating the spatial state of - long deformable linear objects such as cables, threads, hoses, or ropes, is useful for a broad range of tasks in homes, retail, factories, construction, transportation, and healthcare. For long…

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…

机器人学 · 计算机科学 2023-12-27 Sun Zhaole , Jihong Zhu , Robert B. Fisher

This paper addresses the task of modeling Deformable Linear Objects (DLOs), such as ropes and cables, during dynamic motion over long time horizons. This task presents significant challenges due to the complex dynamics of DLOs. To address…

机器人学 · 计算机科学 2025-03-10 Yizhou Chen , Yiting Zhang , Zachary Brei , Tiancheng Zhang , Yuzhen Chen , Julie Wu , Ram Vasudevan

Manipulating a deformable linear object (DLO) such as wire, cable, and rope is a common yet challenging task due to their high degrees of freedom and complex deformation behaviors, especially in an environment with obstacles. Existing local…

机器人学 · 计算机科学 2025-12-02 Burak Aksoy , John Wen

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…

机器人学 · 计算机科学 2023-09-15 Piotr Kicki , Michał Bidziński , Krzysztof Walas

Deformable linear objects (e.g., cables, ropes, and threads) commonly appear in our everyday lives. However, perception of these objects and the study of physical interaction with them is still a growing area. There have already been…

机器人学 · 计算机科学 2023-04-11 Azarakhsh Keipour , Mohammadreza Mousaei , Maryam Bandari , Stefan Schaal , Sebastian Scherer

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…

机器人学 · 计算机科学 2025-03-12 I. Grinberg , A. Levin , E. D. Rimon

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.…

机器人学 · 计算机科学 2023-12-12 Dezhong Tong , Andrew Choi , Longhui Qin , Weicheng Huang , Jungseock Joo , M. Khalid Jawed

Perception of deformable linear objects (DLOs), such as cables, ropes, and wires, is the cornerstone for successful downstream manipulation. Although vision-based methods have been extensively explored, they remain highly vulnerable to…

机器人学 · 计算机科学 2025-12-22 Kangchen Lv , Mingrui Yu , Shihefeng Wang , Xiangyang Ji , Xiang Li
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