RECURRENT NEURAL NETWORKS FOR REAL-TIME COMPUTATION OF INVERSE KINEMATICS OF REDUNDANT MANIPULATORS-Reference-Cited by-同舟云学术

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RECURRENT NEURAL NETWORKS FOR REAL-TIME COMPUTATION OF INVERSE KINEMATICS OF REDUNDANT MANIPULATORS

Published:2004-04 Issue: Volume: Page:299-319
ISSN:2010-2771
Container-title:Advances in Fuzzy Systems — Applications and Theory
language:
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Author:

WANG JUN¹,ZHANG YUNONG¹

Affiliation:

1. DEPARTMENT OF AUTOMATION AND COMPUTER-AIDED ENGINEERING, THE CHINESE UNIVERSITY OF HONG KONG, SHATIN, NEW TERRITORIES, Hong Kong

Publisher

WORLD SCIENTIFIC

Cited by 12 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. Robust Terminal Recurrent Neural Network for Finding Exact Solution of the TVQP Problem With Various Noises;IEEE Transactions on Industrial Informatics;2023-05

2. A Metaheuristic Optimization Approach to Solve Inverse Kinematics of Mobile Dual-Arm Robots;Mathematics;2022-11-05

3. 94LVI Algorithms of OIpU (One-Iteration-per-Update) Type Handling Time-Dependent QP (Quadratic Programming) with Two Constraints;2022 41st Chinese Control Conference (CCC);2022-07-25

4. A Primal Neural Network for Online Equality-Constrained Quadratic Programming;Cognitive Computation;2017-10-04

5. References;Robot Manipulator Redundancy Resolution;2017-09-08

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