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Tie Zhang 0001
Person information
- affiliation: South China University of Technology, School of Mechanical and Automotive Engineering, Guangzhou, China
Other persons with the same name
- Tie Zhang — disambiguation page
- Tie Zhang 0002
— Northeastern University, Department of Mathematics, School of Information Science and Engineering, Shenyang, China
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2020 – today
- 2025
[j34]Tie Zhang
, Yijie Chen, Yanbiao Zou:
Joint torque estimation method of industrial robot by combining error compensation model based on LSTM and iterative weighted parameter identification. J. Syst. Control. Eng. 239(3): 373-390 (2025)
[j33]Hubo Chu, Tie Zhang, Yanbiao Zou, Hanlei Sun
:
Assemble like human: A multi-level imitation model learning human perception-decision-operation skills for robot automatic assembly tasks. Robotics Comput. Integr. Manuf. 93: 102907 (2025)- 2024
[j32]Meng Xiao
, Tie Zhang
, Yanbiao Zou
, Shouyan Chen, Wen Wu:
Research on Robot Massage Force Control Based on Residual Reinforcement Learning. IEEE Access 12: 18270-18279 (2024)
[j31]Tie Zhang
, Jia Cheng, Yanbiao Zou:
Multimodal transportation routing optimization based on multi-objective Q-learning under time uncertainty. Complex Intell. Syst. 10(2): 3133-3152 (2024)
[j30]Tie Zhang
, Mingquan Zhu
, Yanbiao Zou
:
Image restoration based on vector quantization for robotic automatic welding. Eng. Appl. Artif. Intell. 129: 107577 (2024)
[j29]Tie Zhang
, Hubo Chu
, Yanbiao Zou, Hanlei Sun
:
A robust electromyography signals-based interaction interface for human-robot collaboration in 3D operation scenarios. Expert Syst. Appl. 238(Part C): 122003 (2024)
[j28]Meng Xiao, Xuefei Zhang, Tie Zhang, Shouyan Chen, Yanbiao Zou, Wen Wu:
A study on robot force control based on the GMM/GMR algorithm fusing different compensation strategies. Frontiers Neurorobotics 18 (2024)
[j27]Tie Zhang
, Yuanhang Yang
, Yanbiao Zou
, Jun Zhao
, Shenghong Wu
:
Deep residual attention network for human defecation prediction using bowel sounds. Multim. Tools Appl. 83(12): 36097-36113 (2024)
[j26]Tie Zhang, Fangyi Zhao
, Yanbiao Zou, Jingfu Zheng:
A lightweight real-time detection method of small objects for home service robots. Mach. Vis. Appl. 35(6): 129 (2024)- 2023
[j25]Lin Li, Qiangwei Zhang, Tie Zhang
, Yanbiao Zou:
Vibration suppression of ball-screw drive system based on flexible dynamics model. Eng. Appl. Artif. Intell. 117(Part): 105506 (2023)
[j24]Tie Zhang, Cailei Liao, Yanbiao Zou, Zhongqiang Kang, Caicheng Wu:
Numerical integration-like algorithm for time-optimal trajectory optimisation of multi-axis motion system based on iterative learning. Int. J. Autom. Control. 17(1): 91-115 (2023)
[j23]Yanbiao Zou, Tao Liu, Tie Zhang, Hubo Chu:
A learning trajectory planning for vibration suppression of industrial robot. Ind. Robot 50(5): 861-869 (2023)
[j22]Meng Xiao, Tie Zhang, Yanbiao Zou, Xiaohu Yan, Wen Wu:
Study on force control for robot massage with a model-based reinforcement learning algorithm. Intell. Serv. Robotics 16(4): 509-519 (2023)
[j21]Lin Li, Zhenye Wei, Tie Zhang, Di Cai:
Three-dimensional dead reckoning of wall-climbing robot based on information fusion of compound extended Kalman filter. J. Field Robotics 40(3): 505-520 (2023)
[j20]Lin Li
, Lin Zhou
, Tie Zhang
, Jingfu Zheng
:
Industrial Robot Hand-Eye Calibration Combining Data Augmentation and Actor-Critic Network. IEEE Trans. Instrum. Meas. 72: 1-12 (2023)
[j19]Tie Zhang
, Hubo Chu
, Yanbiao Zou
:
An Online Human Dynamic Arm Strength Perception Method Based on Surface Electromyography Signals for Human-Robot Collaboration. IEEE Trans. Instrum. Meas. 72: 1-14 (2023)- 2022
[j18]Lin Li, Mingheng Fu, Tie Zhang, He Ying Wu:
Research on workpiece location algorithm based on improved SSD. Ind. Robot 49(1): 108-119 (2022)
[j17]Lin Li, Xi Chen, Tie Zhang:
Pose estimation of metal workpieces based on RPM-Net for robot grasping from point cloud. Ind. Robot 49(6): 1178-1189 (2022)
[j16]Tie Zhang
, Chao Yuan, Yanbiao Zou:
Online Optimization Method of Controller Parameters for Robot Constant Force Grinding Based on Deep Reinforcement Learning Rainbow. J. Intell. Robotic Syst. 105(4): 85 (2022)
[j15]Tie Zhang, Hanlei Sun
, Yanbiao Zou:
An electromyography signals-based human-robot collaboration system for human motion intention recognition and realization. Robotics Comput. Integr. Manuf. 77: 102359 (2022)
[j14]Yanbiao Zou
, Shenghong Wu, Tie Zhang
, Yuanhang Yang:
Research on a Defecation Pre-Warning Algorithm for the Disabled Elderly Based on a Semi-Supervised Generative Adversarial Network. Sensors 22(17): 6704 (2022)
[j13]Tie Zhang
, Zequan Huang, Yanbiao Zou
, Jun Zhao, Yuwei Ke:
A Prediction Model of Defecation Based on BP Neural Network and Bowel Sound Signal Features. Sensors 22(18): 7084 (2022)
[j12]Lin Li
, Yuwei Ke
, Tie Zhang
, Jun Zhao, Zequan Huang:
A Human Defecation Prediction Method Based on Multi-Domain Features and Improved Support Vector Machine. Symmetry 14(9): 1763 (2022)- 2021
[j11]Meng Xiao, Tie Zhang, Yanbiao Zou, Shouyan Chen:
Robotic constant force grinding control based on grinding model and iterative algorithm. Ind. Robot 48(2): 270-279 (2021)- 2020
[j10]Tie Zhang
, Aimin Zhang
:
Robust Adaptive Neural Network Finite-Time Tracking Control for Robotic Manipulators Without Velocity Measurements. IEEE Access 8: 126488-126495 (2020)
2010 – 2019
- 2019
[j9]Shouyan Chen
, Tie Zhang
, Yanbiao Zou, Meng Xiao:
Model Predictive Control of Robotic Grinding Based on Deep Belief Network. Complex. 2019: 1891365:1-1891365:12 (2019)
[j8]Tie Zhang
, Xiaohong Liang
:
Disturbance Observer-Based Robot End Constant Contact Force-Tracking Control. Complex. 2019: 5802453:1-5802453:20 (2019)
[j7]Lin Li, Jiadong Xiao, Yanbiao Zou, Tie Zhang:
Time-optimal path tracking for robots a numerical integration-like approach combined with an iterative learning algorithm. Ind. Robot 46(6): 763-778 (2019)
[j6]Tie Zhang
, Ye Yu, Yanbiao Zou:
An Adaptive Sliding-Mode Iterative Constant-force Control Method for Robotic Belt Grinding Based on a One-Dimensional Force Sensor. Sensors 19(7): 1635 (2019)
[i2]Jiadong Xiao, Lin Li, Yanbiao Zou, Tie Zhang:
Reinforcement Learning for Robotic Time-optimal Path Tracking Using Prior Knowledge. CoRR abs/1907.00388 (2019)
[i1]Jiadong Xiao, Lin Li, Tie Zhang, Yanbiao Zou:
Time-optimal path tracking for industrial robot: A model-free reinforcement approach. CoRR abs/1907.01348 (2019)- 2017
[j5]Shou-yan Chen, Tie Zhang
, Yanbiao Zou:
Fuzzy-Sliding Mode Force Control Research on Robotic Machining. J. Robotics 2017: 8128479:1-8128479:8 (2017)- 2016
[j4]Tie Zhang, Wenbo Liu, Xiaohong Liang:
Constant force grinding control method for unknown curve part based on force/torque information. Int. J. Manuf. Res. 11(1): 53-67 (2016)
[j3]Haitao Liu
, Xuehong Tian, Gui Wang, Tie Zhang:
Finite-Time H∞ Control for High-Precision Tracking in Robotic Manipulators Using Backstepping Control. IEEE Trans. Ind. Electron. 63(9): 5501-5513 (2016)- 2014
[j2]Haitao Liu, Tie Zhang:
Adaptive Neural Network Finite-Time Control for Uncertain Robotic Manipulators. J. Intell. Robotic Syst. 75(3-4): 363-377 (2014)
[j1]Qiongxiong Ma, Tie Zhang:
An improved background subtraction method for HRI based on image parameters. Kybernetes 43(7): 1003-1023 (2014)
[c3]Tie Zhang, Bo Wang, Junjian Lin:
Fuzzy PD Compliance Control of 6-DOF Robot Using Disturbed Force Sense. ICIRA (2) 2014: 111-118- 2012
[c2]Qiongxiong Ma, Yanbiao Zou, Tie Zhang:
Study of service robot architecture based on middleware and abstract environment. ROBIO 2012: 1200-1205
[c1]Junjian Lin, Tie Zhang:
Fuzzy PD compliance control of 6 degrees-of-freedom robot using disturbed force sense. ROBIO 2012: 1674-1679
Coauthor Index

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