Feel the Tension: Manipulation of Deformable Linear Objects in Environments with Fixtures using Force Information

October 10, 2023 Β· Declared Dead Β· πŸ› IEEE/RJS International Conference on Intelligent RObots and Systems

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Authors Finn SΓΌberkrΓΌb, Rita Laezza, Yiannis Karayiannidis arXiv ID 2310.06424 Category cs.RO: Robotics Citations 20 Venue IEEE/RJS International Conference on Intelligent RObots and Systems Last Checked 4 months ago
Abstract
Humans are able to manipulate Deformable Linear Objects (DLOs) such as cables and wires, with little or no visual information, relying mostly on force sensing. In this work, we propose a reduced DLO model which enables such blind manipulation by keeping the object under tension. Further, an online model estimation procedure is also proposed. A set of elementary sliding and clipping manipulation primitives are defined based on our model. The combination of these primitives allows for more complex motions such as winding of a DLO. The model estimation and manipulation primitives are tested individually but also together in a real-world cable harness production task, using a dual-arm YuMi, thus demonstrating that force-based perception can be sufficient even for such a complex scenario.
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