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Simulated Mounting of a Flexible Wire for Automated Assembly of Vehicle Cabling Systems

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ROBOT2022: Fifth Iberian Robotics Conference (ROBOT 2022)

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Abstract

The manipulation of deformable objects poses a significant challenge for the automotive industry. In particular, the assembly of flexible cables and wire-harnesses in vehicles is still performed manually as there is yet to be a reliable and general solution for this problem. This paper presents a simple yet efficient motion planning algorithm to mount a flexible wire in an assembly jig, where the wire must traverse a set of forks in order. The algorithm uses a heuristic based on a set of control points to guide the wire’s movement. Various controlled assembly scenarios are built in simulation using MuJoCo, a physics engine that can emulate the dynamics of Deformable Linear Objects (DLO). Experimental results in simulation demonstrated that the amount and orientation of the forks has a large impact in the solution’s performance and highlighted several key ideas and challenges moving forward. Thus, this work serves as a stepping stone towards the development of more complete solutions, capable of assembling flexible items in vehicles.

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Notes

  1. 1.

    https://www.pacline.com/photos/photos-by-solution/assembly-line-conveyors/ (accessed on June 10, 2022)

  2. 2.

    https://pybullet.org/wordpress (accessed on June 10, 2022).

  3. 3.

    https://github.com/GoncaloLeao/Scientific-Research.

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Acknowledgments

This work was funded by National Funds through the Portuguese funding agency Fundação para a Ciência e a Tecnologia (FCT), within the PhD studentship 2020.06923.BD, and by the Environmental Funds nr 01/C12-I01/2021 and nr 02/ C12-I01/2021, under the Portuguese Recovery and Resilience Plan.

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Correspondence to Gonçalo Leão .

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Leão, G., Sousa, A., Dinis, D., Veiga, G. (2023). Simulated Mounting of a Flexible Wire for Automated Assembly of Vehicle Cabling Systems. In: Tardioli, D., Matellán, V., Heredia, G., Silva, M.F., Marques, L. (eds) ROBOT2022: Fifth Iberian Robotics Conference. ROBOT 2022. Lecture Notes in Networks and Systems, vol 589. Springer, Cham. https://doi.org/10.1007/978-3-031-21065-5_32

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