Suitable for Dynamic Modeling of 3D Vision Algorithm and Motion Control Compensation

Zhanfeng Wu, Tengfei Chang, Guangze Zhu, Xiaojia Ye, Chengming Luo, Boming Li, Ti Liu, Xin Yang, Qiunan Xu and Jianqiang Zhan

GBP Proceedings Series, 2025, vol. 7, issue None, 39-45

Abstract: The accuracy of 3D modeling in dynamic scenes is constrained by motion blur and system latency. Traditional visual algorithms often produce geometric distortions when reconstructing high-speed moving objects, and the response delay in control loops further exacerbates these modeling errors. This paper introduces a collaborative framework that integrates time-varying perception 3D vision with predictive compensation control: first, a motion state estimation module based on multi-sensor tight coupling is designed. This module fuses RGB-D data and IMU information using adaptive Kalman filtering to achieve real-time decoupling of motion trajectories. Next, a hierarchical control compensation mechanism is developed, which combines feedforward motion prediction from LSTM networks with online tuning of PID parameters based on visual-inertial feedback. This significantly reduces modeling distortions caused by actuator delays. Verification on a robotic arm dynamic grasping platform shows that compared to the ORB-SLAM3 system, the modeling point cloud registration error is reduced by 62.3%, and the root mean square error (RMSE) of trajectory tracking is reduced by 58.1%. This effectively addresses the industry challenge of 'modeling-control' cross-interference in dynamic scenes, providing robust technical support for scenarios such as intelligent manufacturing and unmanned systems.

Keywords: 3D dynamic modeling; motion control compensation; multi-sensor fusion; time series perception algorithm; predictive control; robot vision (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://soapubs.com/index.php/GBPPS/article/view/484/480 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:axf:gbppsa:v:7:y:2025:i:none:p:39-45

Access Statistics for this article

More articles in GBP Proceedings Series from Scientific Open Access Publishing
Bibliographic data for series maintained by Yuchi Liu ().