The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 26, 2026

Filed:

Jul. 20, 2025
Applicant:

Southeast University, Jiangsu, CN;

Inventors:

Aiguo Song, Jiangsu, CN;

Tianyuan Miao, Jiangsu, CN;

Qinjie Ji, Jiangsu, CN;

Shaohu Wang, Jiangsu, CN;

Huijun Li, Jiangsu, CN;

Assignee:

SOUTHEAST UNIVERSITY, Jiangsu, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B62D 57/028 (2006.01); B25J 9/16 (2006.01); B25J 11/00 (2006.01); F16L 55/26 (2006.01); G05D 1/242 (2024.01); G05D 1/245 (2024.01); G05D 1/435 (2024.01); G05D 107/50 (2024.01); G06T 7/50 (2017.01); G06T 7/62 (2017.01); G06T 7/73 (2017.01); G06V 10/26 (2022.01); G06V 10/30 (2022.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01); G05D 101/15 (2024.01); G05D 111/50 (2024.01);
U.S. Cl.
CPC ...
G05D 1/435 (2024.01); B62D 57/028 (2013.01); F16L 55/26 (2013.01); G05D 1/242 (2024.01); G05D 1/245 (2024.01); G06T 7/50 (2017.01); G06T 7/62 (2017.01); G06T 7/73 (2017.01); G06V 10/26 (2022.01); G06V 10/30 (2022.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01); G05D 2101/15 (2024.01); G05D 2107/50 (2024.01); G05D 2111/52 (2024.01); G05D 2111/54 (2024.01); G06T 2207/20084 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A motion control method for an adaptive self-reconfigurable pipeline robot based on environmental perception includes: acquiring internal images of the pipeline for scene recognition, segmenting planar surfaces and curved surfaces in the images according to recognition results, and extracting boundary lines of the pipeline; calculating a straight-pipe width, a bent-pipe curvature, a slope angle, and a step height to analyze passability of the robot; designing a path planner and a swing-arm planner to generate a reference trajectory and a swing-arm angle sequence of the robot, performing smoothing, and inputting the reference trajectory and the swing-arm angle sequence into a model predictive control (MPC) motion controller; estimating a position and state of the robot through an Error State Kalman Filter (ESKF) algorithm, and inputting estimation results and collision warning signals into the MPC motion controller; and finally outputting a signal for control of a motor and a swing-arm motor.


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