Tie Zhang

Orcid: 0000-0001-9716-3970

Affiliations:
  • South China University of Technology, School of Mechanical and Automotive Engineering, Guangzhou, China


According to our database1, Tie Zhang authored at least 38 papers between 2012 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
Assemble like human: A multi-level imitation model learning human perception-decision-operation skills for robot automatic assembly tasks.
Robotics Comput. Integr. Manuf., 2025

Joint torque estimation method of industrial robot by combining error compensation model based on LSTM and iterative weighted parameter identification.
J. Syst. Control. Eng., 2025

2024
A lightweight real-time detection method of small objects for home service robots.
Mach. Vis. Appl., November, 2024

Deep residual attention network for human defecation prediction using bowel sounds.
Multim. Tools Appl., April, 2024

A robust electromyography signals-based interaction interface for human-robot collaboration in 3D operation scenarios.
Expert Syst. Appl., March, 2024

A study on robot force control based on the GMM/GMR algorithm fusing different compensation strategies.
Frontiers Neurorobotics, 2024

Image restoration based on vector quantization for robotic automatic welding.
Eng. Appl. Artif. Intell., 2024

Research on Robot Massage Force Control Based on Residual Reinforcement Learning.
IEEE Access, 2024

2023
Study on force control for robot massage with a model-based reinforcement learning algorithm.
Intell. Serv. Robotics, September, 2023

Three-dimensional dead reckoning of wall-climbing robot based on information fusion of compound extended Kalman filter.
J. Field Robotics, May, 2023

An Online Human Dynamic Arm Strength Perception Method Based on Surface Electromyography Signals for Human-Robot Collaboration.
IEEE Trans. Instrum. Meas., 2023

Industrial Robot Hand-Eye Calibration Combining Data Augmentation and Actor-Critic Network.
IEEE Trans. Instrum. Meas., 2023

A learning trajectory planning for vibration suppression of industrial robot.
Ind. Robot, 2023

Numerical integration-like algorithm for time-optimal trajectory optimisation of multi-axis motion system based on iterative learning.
Int. J. Autom. Control., 2023

Vibration suppression of ball-screw drive system based on flexible dynamics model.
Eng. Appl. Artif. Intell., 2023

2022
A Human Defecation Prediction Method Based on Multi-Domain Features and Improved Support Vector Machine.
Symmetry, 2022

Research on a Defecation Pre-Warning Algorithm for the Disabled Elderly Based on a Semi-Supervised Generative Adversarial Network.
Sensors, 2022

A Prediction Model of Defecation Based on BP Neural Network and Bowel Sound Signal Features.
Sensors, 2022

An electromyography signals-based human-robot collaboration system for human motion intention recognition and realization.
Robotics Comput. Integr. Manuf., 2022

Online Optimization Method of Controller Parameters for Robot Constant Force Grinding Based on Deep Reinforcement Learning Rainbow.
J. Intell. Robotic Syst., 2022

Research on workpiece location algorithm based on improved SSD.
Ind. Robot, 2022

Pose estimation of metal workpieces based on RPM-Net for robot grasping from point cloud.
Ind. Robot, 2022

2021
Robotic constant force grinding control based on grinding model and iterative algorithm.
Ind. Robot, 2021

2020
Robust Adaptive Neural Network Finite-Time Tracking Control for Robotic Manipulators Without Velocity Measurements.
IEEE Access, 2020

2019
An Adaptive Sliding-Mode Iterative Constant-force Control Method for Robotic Belt Grinding Based on a One-Dimensional Force Sensor.
Sensors, 2019

Time-optimal path tracking for robots a numerical integration-like approach combined with an iterative learning algorithm.
Ind. Robot, 2019

Time-optimal path tracking for industrial robot: A model-free reinforcement approach.
CoRR, 2019

Reinforcement Learning for Robotic Time-optimal Path Tracking Using Prior Knowledge.
CoRR, 2019

Disturbance Observer-Based Robot End Constant Contact Force-Tracking Control.
Complex., 2019

Model Predictive Control of Robotic Grinding Based on Deep Belief Network.
Complex., 2019

2017
Fuzzy-Sliding Mode Force Control Research on Robotic Machining.
J. Robotics, 2017

2016
Finite-Time H<sub>∞</sub> Control for High-Precision Tracking in Robotic Manipulators Using Backstepping Control.
IEEE Trans. Ind. Electron., 2016

Constant force grinding control method for unknown curve part based on force/torque information.
Int. J. Manuf. Res., 2016

2014
An improved background subtraction method for HRI based on image parameters.
Kybernetes, 2014

Adaptive Neural Network Finite-Time Control for Uncertain Robotic Manipulators.
J. Intell. Robotic Syst., 2014

Fuzzy PD Compliance Control of 6-DOF Robot Using Disturbed Force Sense.
Proceedings of the Intelligent Robotics and Applications - 7th International Conference, 2014

2012
Study of service robot architecture based on middleware and abstract environment.
Proceedings of the 2012 IEEE International Conference on Robotics and Biomimetics, 2012

Fuzzy PD compliance control of 6 degrees-of-freedom robot using disturbed force sense.
Proceedings of the 2012 IEEE International Conference on Robotics and Biomimetics, 2012


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