Deep learning-based localization of electrical connector sockets for automated mating
Author:
Funder
Bayerische Staatsministerium für Wirtschaft, Landesentwicklung und Energie
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11740-024-01299-7.pdf
Reference36 articles.
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2. Ying C, Mo Y, Matsuura Y, Yamazaki K (2022) Pose estimation of a small connector attached to the tip of a cable sticking out of a circuit board. Int J Automat Technol 16(2):208–217. https://doi.org/10.20965/ijat.2022.p0208
3. Dirr J, Gebauer D, Yao J, Daub R (2023) Automatic image generation pipeline for instance segmentation of deformable linear objects. Sensors. https://doi.org/10.3390/s23063013
4. Zhou H, Li S, Lu Q, Qian J (2020) A practical solution to deformable linear object manipulation: a case study on cable harness connection. In: 2020 5th International conference on advanced robotics and mechatronics (ICARM). IEEE, pp 329–333. https://doi.org/10.1109/ICARM49381.2020.9195380
5. Yumbla F, Yi J-S, Abayebas M, Shafiyev M, Moon H (2018) Tolerance dataset: mating process of plug-in cable connectors for wire harness assembly tasks. Intel Serv Robot 13(1):159–168. https://doi.org/10.1007/s11370-019-00307-5
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