Visualized Small-size Pipeline Model Building Using Multilink-articulated Wheeled In-pipe Inspection Robot
Dianzhen Guo, Zhaohan Yuan, Sheng Bao, Jianjun Yuan, Shugen Ma, Liang Du
- Year
- 2021
- Citations
- 8
Abstract
In this paper, we use a multilink-articulated wheeled in-pipe robot to develop an industrial solution for the visualized model of the small-size pipeline (less than 200mm) with unknown layout and diameter. We build visualized pipeline model based on small-size inertial measurement unit (IMU) and encoder instead of large-size optical device such as CCD cameras or radar which are expensive and complicated to operate easily. To improve the accuracy of the visualized pipeline model, a multi-sensor data fusion algorithm is developed and the error caused by the gravity factor has been eliminated by using the gradient descent algorithm. The proposed method is experimentally verified in U-Shaped pipeline.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991