Harnessing with Twisting: Single-Arm Deformable Linear Object Manipulation for Industrial Harnessing Task

October 14, 2024 Β· Declared Dead Β· πŸ› IEEE/RJS International Conference on Intelligent RObots and Systems

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Authors Xiang Zhang, Hsien-Chung Lin, Yu Zhao, Masayoshi Tomizuka arXiv ID 2410.10729 Category cs.RO: Robotics Citations 2 Venue IEEE/RJS International Conference on Intelligent RObots and Systems Last Checked 6 months ago
Abstract
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 adaptability, cost, and scalability. This paper introduces a novel single-robot wire-harnessing pipeline that leverages a robot's twisting motion to generate necessary wire tension for precise insertion into clamps, using only one robot arm with an integrated force/torque (F/T) sensor. Benefiting from this design, the single robot arm can efficiently apply tension for wire routing and insertion into clamps in a narrow space. Our approach is structured around four principal components: a Model Predictive Control (MPC) based on the Koopman operator for tension tracking and wire following, a motion planner for sequencing harnessing waypoints, a suite of insertion primitives for clamp engagement, and a fix-point switching mechanism for wire constraint updating. Evaluated on an industrial-level wire harnessing task, our method demonstrated superior performance and reliability over conventional approaches, efficiently handling both single and multiple wire configurations with high success rates.
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