A technique for inversely identifying joint stiffnesses of robot arms via two-way TubeNets-Reference-Cited by-同舟云学术

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A technique for inversely identifying joint stiffnesses of robot arms via two-way TubeNets

Published:2021-09-02 Issue:13 Volume:29 Page:3041-3061
ISSN:1741-5977
Container-title:Inverse Problems in Science and Engineering
language:en
Short-container-title:Inverse Problems in Science and Engineering

Author:

Duan Shuyong¹^ORCID,Wang Li¹^ORCID,Wang Fang¹^ORCID,Han Xu¹^ORCID,Liu GuiRong²

Affiliation:

1. State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, People’s Republic of China

2. Department of Aerospace Engineering and Engineering Mechanics, University of Cincinnati, Cincinnati, OH, USA

Funder

National Natural Science Foundation of China

Tianjin Science and Technology Program Project

Creative Research Groups of Hebei Province

State Key Laboratory of Structural Analysis for Industrial Equipment

by the Natural Science Foundation

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,General Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/17415977.2021.1967344

Reference33 articles.

1. Jubien A, Abba G, Gautier M. Joint stiffness identification of a heavy kuka robot with a low-cost clamped end-effector procedure. 2014 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO); 2014 Sept 1–3; Vienna, Austria. 2015.

2. Sensitivity analysis of flexible joint nonholonomic wheeled mobile manipulator in singular configuration

3. Maximum load of flexible joint manipulators using nonlinear controllers

4. Derivation of motion equation for mobile manipulator with viscoelastic links and revolute–prismatic flexible joints via recursive Gibbs–Appell formulations

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2. Structural Optimization Design of a Six-Degrees-of-Freedom Serial Robot with Integrated Topology and Dimensional Parameters;Sensors;2023-08-15

3. A Study on Affine Transformations and a Novel Universal Prediction Theory;International Journal of Computational Methods;2023-04-17

4. Neurons-Samples Theorem;International Journal of Computational Methods;2022-11-21

5. An uncertainty inversion technique using two-way neural network for parameter identification of robot arms;Inverse Problems in Science and Engineering;2021-10-25

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