Your Location：
Home >
Browse articles >
Physics-informed neural networks for the prediction of robot dynamics considering motor and external force couplings
Regular Papers | Updated：2026-01-12

    • Physics-informed neural networks for the prediction of robot dynamics considering motor and external force couplings

      Enhanced Publication
    • 考虑电机与外力耦合的机器人动力学预测物理信息神经网络
    • “Physics-informed neural networks (PINNs) have made significant progress in modeling conservative systems of rigid-body dynamics. This study proposes two enhanced PINNs that integrate motor dynamics and external force modeling, providing solutions to solve high-precision torque estimation problems in complex external force scenarios.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 12, Pages: 2604-2622(2025)

    • DOI：10.1631/FITEE.2500254    

      CLC： TP241.2

    • Received：21 April 2025，

      Revised：2025-09-28，

      Published Online：16 December 2025，

      Published：2025-12

    Scan QR Code

  • Fengyu SUN, Shuangshuang WU, Zhiming LI, et al. Physics-informed neural networks for the prediction of robot dynamics considering motor and external force couplings[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(12): 2604-2622. DOI： 10.1631/FITEE.2500254.

  •  
  •  

0

Views

24

Downloads

0

CSCD

PlumX

>
Alert me when the article has been cited
Submit
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Magnetically driven microrobotsmoving in a flow: a review
A VHDL application for kinematic equation solutions of multi-degree-of-freedom systems

Related Author

Jiamiao MIAO
Xiaopu WANG
Yan ZHOU
Min YE
Hongyu ZHAO
Ruoyu XU
Huihuan QIAN
Hüseyin Oktay ERKOL

Related Institution

School of Science and Engineering, the Chinese University of Hong Kong
Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS)
Department of Mechatronics Engineering, Faculty of Technology, Karabuk University, Karabük
Department of Electrical and Electronics Engineering, Faculty of Engineering, Karabük University, Karabük
0