Step-by-step identification of industrial robot dynamics model parameters and force-free control for robot teaching-Reference-Cited by-同舟云学术

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Step-by-step identification of industrial robot dynamics model parameters and force-free control for robot teaching

Published:2023-07-03 Issue: Volume: Page:
ISSN:1738-494X
Container-title:Journal of Mechanical Science and Technology
language:en
Short-container-title:J Mech Sci Technol

Author:

Wang Binrui,Fang Junwei,Qi Shunan,Wang Ling,Liu Xiaolong,Ren Haijun

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials

Link

https://link.springer.com/content/pdf/10.1007/s12206-023-0639-7.pdf

Reference22 articles.

1. N. Wake, R. Arakawa and I. Yanokura, A learning-from-observation framework: one-shot robot teaching for grasp-manipulation-release household operations, 2021 IEEE/SICE International Symposium on System Integration (SII), Iwaki, Fukushima, Japan (2021) 461–466.

2. Y. Xu, C. Yang and J. Zhong, Robot teaching by teleoperation based on visual interaction and extreme learning machine, Neurocomputing, 275 (2018) 2093–2103.

3. Q. Yuan, C. Y. Weng and F. Suárez-Ruiz, Flexible telemanipulation based handy robot teaching on tape masking with complex geometry, Robotics and Computer-Integrated Manufacturing, 66 (2020) 101990.

4. D. Zhou, M. Xie and P. Xuan, A teaching method for the theory and application of robot kinematics based on MATLAB and V-REP, Computer Applications in Engineering Education, 28(2) (2020) 239–253.

5. T. Ren, Y. Dong and D. Wu, Design of direct teaching behavior of collaborative robot based on force interaction, Journal of Intelligent and Robotic Systems, 96(1) (2019) 83–93.

Cited by 2 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. Dynamic parameter identification of modular robot manipulators based on hybrid optimization strategy: genetic algorithm and least squares method;Soft Computing;2024-08-30

2. Learning-model-based Control for Robot Manipulators Sensorless Kinesthetic Teaching Using Sparse Feature Dynamics;2023 IEEE International Conference on Robotics and Biomimetics (ROBIO);2023-12-04

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