Shengqiang Zhao

13 papers Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Extremely constrained robotic milling posture active adjustment on curved surface: Divide and conquer strategy with index of generalized accumulative work.
Robotics Comput. Integr. Manuf.
Shengqiang Zhao, Fangyu Peng, Juntong Su, Xiaowei Tang, Teng Zhang, Jiawei Wu, Rong Yan
2025 J jnl
Spatial-temporal feature fusion for intelligent foreknowledge of robotic machining errors.
Robotics Comput. Integr. Manuf.
Teng Zhang, Fangyu Peng, Jianzhuang Wang, Zhao Yang, Xiaowei Tang, Rong Yan, Shengqiang Zhao, Runpeng Deng
2024 J jnl
A sparse knowledge embedded configuration optimization method for robotic machining system toward improving machining quality.
Robotics Comput. Integr. Manuf.
Teng Zhang, Fangyu Peng, Xiaowei Tang, Rong Yan, Runpeng Deng, Shengqiang Zhao
2024 J jnl
In-situ prediction of machining errors of thin-walled parts: an engineering knowledge based sparse Bayesian learning approach.
J. Intell. Manuf.
Hao Sun, Shengqiang Zhao, Fangyu Peng, Rong Yan, Lin Zhou, Teng Zhang, Chi Zhang
2024 J jnl
Robotic milling posture adjustment under composite constraints: A weight-sequence identification and optimization strategy.
Robotics Comput. Integr. Manuf.
Shengqiang Zhao, Fangyu Peng, Hao Sun, Rong Yan, Xiaowei Tang, Hua Zhang
2024 — conf
Sparse Representation of Robotic Machining Deformation Based on Key Points Determination.
ICIRA (2)
Yunan Shan, Shengqiang Zhao, Fangyu Peng, Rong Yan, Xiaowei Tang, Juntong Su, Hao Sun
2022 — conf
A Knowledge-Embedded End-to-End Intelligent Reasoning Method for Processing Quality of Shaft Parts.
ICIRA (4)
Teng Zhang, Bingbing Li, Hao Sun, Shengqiang Zhao, Fangyu Peng, Lin Zhou, Rong Yan
2022 J jnl
A deep transfer regression method based on seed replacement considering balanced domain adaptation.
Eng. Appl. Artif. Intell.
Teng Zhang, Hao Sun, Fangyu Peng, Shengqiang Zhao, Rong Yan
2022 — conf
A foreknowledge perception method of multi-stages machining accuracy in aviation turbine shafts based on hidden Markov model and Neural networks
AIM
Shengqiang Zhao, Hao Sun, Teng Zhang, Fangyu Peng, Rong Yan, Lin Zhou, Hua Zhang
2022 — conf
Analysis and inference of stream of dimensional errors in multistage machining process based on an improved semiparametric model.
AIM
Hao Sun, Shengqiang Zhao, Teng Zhang, Fangyu Peng, Lin Zhou, Rong Yan
2021 — conf
A hybrid mechanism-based and data-driven approach for the calibration of physical properties of Ni-based superalloy GH3128.
M2VIP
Hao Sun, Lin Zhou, Shengqiang Zhao, Teng Zhang, Fangyu Peng, Rong Yan
2021 — conf
A transfer learning based geometric position-driven machining error prediction method for different working conditions.
M2VIP
Teng Zhang, Hao Sun, Lin Zhou, Shengqiang Zhao, Fangyu Peng, Rong Yan
2021 — conf
Tool wear parameters identification in precision milling using a hybrid model combining cutting forces analytical model and Gaussian process regression method.
M2VIP
Shengqiang Zhao, Lin Zhou, Hao Sun, Fangyu Peng, Rong Yan, Teng Zhang