Static Elasticity Compensation via Recursive Artificial Neural Network for Long-Reach Cable-Driven Hyper-Redundant Manipulators

التفاصيل البيبلوغرافية
العنوان: Static Elasticity Compensation via Recursive Artificial Neural Network for Long-Reach Cable-Driven Hyper-Redundant Manipulators
المؤلفون: Daniele Ludovico, Alessandro Pistone, Lorenzo De Mari Casareto Dal Verme, Paolo Guardiani, Darwin G. Caldwell, Carlo Canali
المصدر: 2021 20th International Conference on Advanced Robotics (ICAR).
بيانات النشر: IEEE, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Manipulators, Artificial neural networks, Inspection, Training, Deformable models, Synthetic fibers, Deformable models, Training, Artificial neural networks, Synthetic fibers, Inspection, Elasticity, Manipulators, Elasticity
DOI: 10.1109/icar53236.2021.9659419
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8338128402fefd9195d99cfa2b17919a
https://doi.org/10.1109/icar53236.2021.9659419
Rights: CLOSED
رقم الانضمام: edsair.doi.dedup.....8338128402fefd9195d99cfa2b17919a
قاعدة البيانات: OpenAIRE
الوصف
DOI:10.1109/icar53236.2021.9659419