Zobrazeno 1 - 10
of 4 526
pro vyhledávání: '"Linear object"'
Autor:
Li, Mingen, Choi, Changhyun
Publikováno v:
2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 2024, pp. 5183-5189
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 diversity poses
Externí odkaz:
http://arxiv.org/abs/2410.23428
Wire-harnessing tasks pose great challenges to be automated by the robot due to the complex dynamics and unpredictable behavior of the deformable wire. Traditional methods, often reliant on dual-robot arms or tactile sensing, face limitations in adap
Externí odkaz:
http://arxiv.org/abs/2410.10729
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 often do not
Externí odkaz:
http://arxiv.org/abs/2407.03476
Publikováno v:
2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 2024, pp. 10734-10740
Realtime shape estimation of continuum objects and manipulators is essential for developing accurate planning and control paradigms. The existing methods that create dense point clouds from camera images, and/or use distinguishable markers on a defor
Externí odkaz:
http://arxiv.org/abs/2403.16146
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 workspaces an
Externí odkaz:
http://arxiv.org/abs/2402.10372
We show that it is possible to learn an open-loop policy in simulation for the dynamic manipulation of a deformable linear object (DLO) -- e.g., a rope, wire, or cable -- that can be executed by a real robot without additional training. Our method is
Externí odkaz:
http://arxiv.org/abs/2310.00911
Autor:
Bernet, Philippe, Chazalon, Joseph, Carlinet, Edwin, Bourquelot, Alexandre, Puybareau, Elodie
Linear objects convey substantial information about document structure, but are challenging to detect accurately because of degradation (curved, erased) or decoration (doubled, dashed). Many approaches can recover some vector representation, but only
Externí odkaz:
http://arxiv.org/abs/2305.16968
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Autor:
Choi, Andrew, Tong, Dezhong, Park, Brian, Terzopoulos, Demetri, Joo, Jungseock, Jawed, Mohammad Khalid
Robotic manipulation of deformable materials is a challenging task that often requires realtime visual feedback. This is especially true for deformable linear objects (DLOs) or "rods", whose slender and flexible structures make proper tracking and de
Externí odkaz:
http://arxiv.org/abs/2302.09444
Akademický článek
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