Shengqiang Zhao

According to our database, Shengqiang Zhao authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Extremely constrained robotic milling posture active adjustment on curved surface: Divide and conquer strategy with index of generalized accumulative work.

Shengqiang Zhao, Fangyu Peng, Juntong Su, Xiaowei Tang, Teng Zhang, Jiawei Wu, Rong Yan

Robotics Comput. Integr. Manuf., 2025

Spatial-temporal feature fusion for intelligent foreknowledge of robotic machining errors.

Teng Zhang, Fangyu Peng, Jianzhuang Wang, Zhao Yang, Xiaowei Tang, Rong Yan, Shengqiang Zhao, Runpeng Deng

Robotics Comput. Integr. Manuf., 2025

2024

Robotic milling posture adjustment under composite constraints: A weight-sequence identification and optimization strategy.

Shengqiang Zhao, Fangyu Peng, Hao Sun, Rong Yan, Xiaowei Tang, Hua Zhang

Robotics Comput. Integr. Manuf., February, 2024

In-situ prediction of machining errors of thin-walled parts: an engineering knowledge based sparse Bayesian learning approach.

Hao Sun, Shengqiang Zhao, Fangyu Peng, Rong Yan, Lin Zhou, Teng Zhang, Chi Zhang

J. Intell. Manuf., January, 2024

A sparse knowledge embedded configuration optimization method for robotic machining system toward improving machining quality.

Teng Zhang, Fangyu Peng, Xiaowei Tang, Rong Yan, Runpeng Deng, Shengqiang Zhao

Robotics Comput. Integr. Manuf., 2024

Sparse Representation of Robotic Machining Deformation Based on Key Points Determination.

Yunan Shan, Shengqiang Zhao, Fangyu Peng, Rong Yan, Xiaowei Tang, Juntong Su, Hao Sun

Proceedings of the Intelligent Robotics and Applications - 17th International Conference, 2024

2022

A deep transfer regression method based on seed replacement considering balanced domain adaptation.

Teng Zhang, Hao Sun, Fangyu Peng, Shengqiang Zhao, Rong Yan

Eng. Appl. Artif. Intell., 2022

A Knowledge-Embedded End-to-End Intelligent Reasoning Method for Processing Quality of Shaft Parts.

Teng Zhang, Bingbing Li, Hao Sun, Shengqiang Zhao, Fangyu Peng, Lin Zhou, Rong Yan

Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022

A foreknowledge perception method of multi-stages machining accuracy in aviation turbine shafts based on hidden Markov model and Neural networks^*.

Shengqiang Zhao, Hao Sun, Teng Zhang, Fangyu Peng, Rong Yan, Lin Zhou, Hua Zhang

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022

Analysis and inference of stream of dimensional errors in multistage machining process based on an improved semiparametric model.

Hao Sun, Shengqiang Zhao, Teng Zhang, Fangyu Peng, Lin Zhou, Rong Yan

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022

2021

Tool wear parameters identification in precision milling using a hybrid model combining cutting forces analytical model and Gaussian process regression method.

Shengqiang Zhao, Lin Zhou, Hao Sun, Fangyu Peng, Rong Yan, Teng Zhang

Proceedings of the 27th International Conference on Mechatronics and Machine Vision in Practice, 2021

A transfer learning based geometric position-driven machining error prediction method for different working conditions.

Teng Zhang, Hao Sun, Lin Zhou, Shengqiang Zhao, Fangyu Peng, Rong Yan

Proceedings of the 27th International Conference on Mechatronics and Machine Vision in Practice, 2021

A hybrid mechanism-based and data-driven approach for the calibration of physical properties of Ni-based superalloy GH3128.

Hao Sun, Lin Zhou, Shengqiang Zhao, Teng Zhang, Fangyu Peng, Rong Yan

Proceedings of the 27th International Conference on Mechatronics and Machine Vision in Practice, 2021