Advances in the use of neural network for solving the direct kinematics of CDPR with sagging cables

JP Merlet - International Conference on Cable-Driven Parallel …, 2023 - Springer
Direct kinematics (DK) is one of the most challenging problem for cable-driven parallel robot
(CDPR) with sagging cables. Solving the DK in real-time is not an issue provided that a …

Технологические процессы удаления нежелательной растительности различными средствами механизации

АА Платонов - Resources and Technology, 2017 - cyberleninka.ru
В настоящее время по сети железных дорог России продолжает оставаться
актуальной проблема удаления нежелательной древесно-кустарниковой …

Forward kinematic modelling with radial basis function neural network tuned with a novel meta-heuristic algorithm for robotic manipulators

SKR Moosavi, MH Zafar, F Sanfilippo - Robotics, 2022 - mdpi.com
The complexity of forward kinematic modelling increases with the increase in the degrees of
freedom for a manipulator. To reduce the computational weight and time lag for desired …

Learning the forward kinematics behavior of a hybrid robot employing artificial neural networks

R Kang, H Chanal, T Bonnemains, S Pateloup… - Robotica, 2012 - cambridge.org
Hybrid robots, composed of a parallel platform and serial wrist, achieve a compromise of
stiffness and dexterity. Thus, they are well suited for applications such as aircraft component …

Кинематические схемы манипуляторов для удаления нежелательной древесно-кустарниковой растительности в плане полосы отвода железных дорог

МА Платонова, МВ Драпалюк… - Лесотехнический …, 2015 - cyberleninka.ru
В настоящее время ОАО «Российские железные дороги» формирует согласованную
политику в области обеспечения безопасности и надёжности перевозочного процесса …

[PDF][PDF] Neural Network NARMA Control of a Gyroscopic Inverted Pendulum.

F Chetouane, S Darenfed - Engineering letters, 2008 - engineeringletters.com
The objective herein is to demonstrate the feasibility of a real-time digital control of an
inverted pendulum for modeling and control, with emphasis on nonlinear auto regressive …

Self-organizing approach for learning the forward kinematic multiple solutions of parallel manipulators

SFM Assal - Robotica, 2012 - cambridge.org
Contrary to the inverse kinematics, the forward kinematics of parallel manipulators involves
solving highly non-linear equations and provides more than one feasible end-effector pose …

Pattern Classification with Holographic Neural Networks: A New Tool for Feature Selection

L Diago, H Abe, A Minamihata, I Hagiwara - Innovations in Machine and …, 2023 - Springer
This chapter aims to develop classification algorithms based on holographic neural
networks (HNN) that can explain the inferences made in the classification of driver states …

Comparison of numerical and neural network methods for the kinematic modeling of a hybrid structure robot

R Kang, H Chanal, JS Dai… - Proceedings of the …, 2015 - journals.sagepub.com
A combination of parallel and serial mechanisms allows for stiff and dexterous motion of the
robotic end-effector but increases the complexity of the kinematic problem. Many of the …

Mixing neural networks and the Newton method for the kinematics of simple cable-driven parallel robots with sagging cables

IB Yahia, JP Merlet, Y Papegay - 2021 20th International …, 2021 - ieeexplore.ieee.org
Cable-driven parallel robots (CDPR) use cables to move a platform. These cables can be
coiled/uncoiled by winches and are all attached to the platform. We are considering here a …