Detection and Physical Interaction with Deformable Linear Objects

May 17, 2022 ยท Entered Twilight ยท ๐Ÿ› arXiv.org

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Authors Azarakhsh Keipour, Mohammadreza Mousaei, Maryam Bandari, Stefan Schaal, Sebastian Scherer arXiv ID 2205.08041 Category cs.RO: Robotics Cross-listed cs.CV, eess.IV Citations 6 Venue arXiv.org Repository https://github.com/deformable-workshop/icra2022 Last Checked 2 months ago
Abstract
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 successful methods to model and track deformable linear objects. However, the number of methods that can automatically extract the initial conditions in non-trivial situations for these methods has been limited, and they have been introduced to the community only recently. On the other hand, while physical interaction with these objects has been done with ground manipulators, there have not been any studies on physical interaction and manipulation of the deformable linear object with aerial robots. This workshop describes our recent work on detecting deformable linear objects, which uses the segmentation output of the existing methods to provide the initialization required by the tracking methods automatically. It works with crossings and can fill the gaps and occlusions in the segmentation and output the model desirable for physical interaction and simulation. Then we present our work on using the method for tasks such as routing and manipulation with the ground and aerial robots. We discuss our feasibility analysis on extending the physical interaction with these objects to aerial manipulation applications.
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