Mixing neural networks and the Newton method for the kinematics of simple cable-driven parallel robots with sagging cables-Reference-Cited by-同舟云学术

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

Published:2021-12-06 Issue: Volume: Page:
ISSN:
Container-title:2021 20th International Conference on Advanced Robotics (ICAR)
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Author:

Yahia Ichrak Ben,Merlet Jean-Pierre,Papegay Yves

Funder

ANR

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9658571/9659314/09659400.pdf?arnumber=9659400

Reference16 articles.

1. A generic numerical continuation scheme for solving the direct kinematics of cable-driven parallel robot with deformable cables;IEEE Int Conf on Intelligent Robots and Systems (IROS),2016

2. Neuro-Fuzzy Intelligent Control Algorithm for Cable-Driven Robots with Elastic Cables

3. Neural Network Solution for Forward Kinematics Problem of Cable Robots

4. On The Design of The Robust Neuro-Adaptive Controller for Cable-driven Parallel Robots

5. Neural Network-Based Inverse Kineto-Static Analysis of Cable-Driven Parallel Robot Considering Cable Mass and Elasticity

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1. Robust Cable-Length-Differences-Based Position Tracking for a Cable Driven Parallel Robot;2024 9th International Conference on Control and Robotics Engineering (ICCRE);2024-05-10

2. Inverse and Forward Kineto-Static Solution of a Large-Scale Cable-Driven Parallel Robot using Neural Networks;Mechanism and Machine Theory;2023-01

3. A Panorama of Methods for Dealing with Sagging Cables in Cable-Driven Parallel Robots;Advances in Robot Kinematics 2022;2022