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Graph evolution method via temporal property encoding for foreknowledge of robotic machining pose errors

delete2026-08-08
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PRE
AI
Z
Zhao Yang
T
Teng Zhang *
F
Fangyu Peng
J
Jingfu Peng
L
Lihao Xiao
X
Xiaowei Tang
R
Rong Yan
DOI：10.1016/j.rcim.2026.103400delete
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Abstract

Abstract

En 中文
• A heterogeneous graph model for a robotic machining system is constructed. • A correlation-guided dynamic evolution method of graph structure is proposed. • End-to-end inference from robotic machining state to pose errors is achieved. • The model's performance is validated in the propeller and cabin experiments.
Keywords:
Robotic machining
Pose errors foreknowledge
Heterogeneous graph model
Graph structure evolution
Spatial-temporal feature extraction

Journal

R
Robotics and Computer-Integrated Manufacturing
IF:
11.4
Papers:
3.3K
Citations:
1.3W

Organization

M
Midea Group
Scholars:
40
Papers: 23
Citations: 0
H
huazhong university of science and technology
Scholars:
2.4W
Papers: 7.2K
Citations: 5
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