Adaptive Neural Network-based Visual Servoing with Integral Sliding Mode Control for Manipulator-Reference-Cited by-同舟云学术

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Adaptive Neural Network-based Visual Servoing with Integral Sliding Mode Control for Manipulator

Published:2022-07-25 Issue: Volume: Page:
ISSN:
Container-title:2022 41st Chinese Control Conference (CCC)
language:
Short-container-title:

Author:

Zeng Haibin¹,Lu Zhihui²,Lv Yueyong¹,Qi Jiaming¹

Affiliation:

1. Harbin Institute of Technology,Harbin,China,150001

2. Aerospace System Engineering Shanghai,Shanghai,China,201109

Funder

National Key Research and Development Program of China

National Natural Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9901509/9901494/09902672.pdf?arnumber=9902672

Reference15 articles.

1. Softgym: Benchmarking deep reinforcement learning for deformable object manipulation;lin;4th Conf Robot Learn,0

2. Learning shape control of elastoplastic deformable linear objects;rita;2021 IEEE International Conference on Robotics and Automation (ICRA),0

3. Robot uncalibrated visual servo control based on genetic optimized RBF neural network;yue;Computer & Digital Engineering,2020

4. Picking manipulator control based on PSO-RBF neural network;dong;Electrical Automation,2022

5. Method of personal credit evaluation of bank based on RBF neural network with weight;guo;Computer Engineering and Applications,2013

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Design of A Finite-Time Adaptive Controller for Image-Based Uncalibrated Visual Servo Systems with Uncertainties in Robot and Camera Models;Sensors;2023-08-11

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