Fuzzy PD compliance control of 6 degrees-of-freedom robot using disturbed force sense. - Junjian Lin; Tie Zhang 001 (ROBIO, 2012)

Study of service robot architecture based on middleware and abstract environment. - Qiongxiong Ma; Yanbiao Zou; Tie Zhang 001 (ROBIO, 2012)

Fuzzy PD Compliance Control of 6-DOF Robot Using Disturbed Force Sense. - Tie Zhang 001; Bo Wang; Junjian Lin (ICIRA (2), 2014)

Adaptive Neural Network Finite-Time Control for Uncertain Robotic Manipulators. - Haitao Liu 004; Tie Zhang 001 (J. Intell. Robotic Syst., 2014)

An improved background subtraction method for HRI based on image parameters. - Qiongxiong Ma; Tie Zhang 001 (Kybernetes, 2014)

Constant force grinding control method for unknown curve part based on force/torque information. - Tie Zhang 001; Wenbo Liu; Xiaohong Liang (Int. J. Manuf. Res., 2016)

Finite-Time H∞ Control for High-Precision Tracking in Robotic Manipulators Using Backstepping Control. - Haitao Liu 004; Xuehong Tian; Gui Wang; Tie Zhang 001 (IEEE Trans. Ind. Electron., 2016)

Fuzzy-Sliding Mode Force Control Research on Robotic Machining. - Shou-yan Chen; Tie Zhang 001; Yanbiao Zou (J. Robotics, 2017)

Model Predictive Control of Robotic Grinding Based on Deep Belief Network. - Shouyan Chen; Tie Zhang 001; Yanbiao Zou; Meng Xiao (Complex., 2019)

Disturbance Observer-Based Robot End Constant Contact Force-Tracking Control. - Tie Zhang 001; Xiaohong Liang (Complex., 2019)

Reinforcement Learning for Robotic Time-optimal Path Tracking Using Prior Knowledge. - Jiadong Xiao; Lin Li; Yanbiao Zou; Tie Zhang 001 (CoRR, 2019)

Time-optimal path tracking for industrial robot: A model-free reinforcement approach. - Jiadong Xiao; Lin Li; Tie Zhang 001; Yanbiao Zou (CoRR, 2019)

Time-optimal path tracking for robots a numerical integration-like approach combined with an iterative learning algorithm. - Lin Li; Jiadong Xiao; Yanbiao Zou; Tie Zhang 001 (Ind. Robot, 2019)

An Adaptive Sliding-Mode Iterative Constant-force Control Method for Robotic Belt Grinding Based on a One-Dimensional Force Sensor. - Tie Zhang 001; Ye Yu; Yanbiao Zou (Sensors, 2019)

Robust Adaptive Neural Network Finite-Time Tracking Control for Robotic Manipulators Without Velocity Measurements. - Tie Zhang 001; Aimin Zhang (IEEE Access, 2020)

Robotic constant force grinding control based on grinding model and iterative algorithm. - Meng Xiao; Tie Zhang 001; Yanbiao Zou; Shouyan Chen (Ind. Robot, 2021)

Pose estimation of metal workpieces based on RPM-Net for robot grasping from point cloud. - Lin Li; Xi Chen; Tie Zhang 001 (Ind. Robot, 2022)

Research on workpiece location algorithm based on improved SSD. - Lin Li; Mingheng Fu; Tie Zhang 001; He Ying Wu (Ind. Robot, 2022)

Online Optimization Method of Controller Parameters for Robot Constant Force Grinding Based on Deep Reinforcement Learning Rainbow. - Tie Zhang 001; Chao Yuan; Yanbiao Zou (J. Intell. Robotic Syst., 2022)

An electromyography signals-based human-robot collaboration system for human motion intention recognition and realization. - Tie Zhang 001; Hanlei Sun; Yanbiao Zou (Robotics Comput. Integr. Manuf., 2022)

A Prediction Model of Defecation Based on BP Neural Network and Bowel Sound Signal Features. - Tie Zhang 001; Zequan Huang; Yanbiao Zou; Jun Zhao; Yuwei Ke (Sensors, 2022)

Research on a Defecation Pre-Warning Algorithm for the Disabled Elderly Based on a Semi-Supervised Generative Adversarial Network. - Yanbiao Zou; Shenghong Wu; Tie Zhang 001; Yuanhang Yang (Sensors, 2022)

A Human Defecation Prediction Method Based on Multi-Domain Features and Improved Support Vector Machine. - Lin Li 077; Yuwei Ke; Tie Zhang 001; Jun Zhao; Zequan Huang (Symmetry, 2022)

Vibration suppression of ball-screw drive system based on flexible dynamics model. - Lin Li; Qiangwei Zhang; Tie Zhang 001; Yanbiao Zou (Eng. Appl. Artif. Intell., 2023)

Numerical integration-like algorithm for time-optimal trajectory optimisation of multi-axis motion system based on iterative learning. - Tie Zhang 001; Cailei Liao; Yanbiao Zou; Zhongqiang Kang; Caicheng Wu (Int. J. Autom. Control., 2023)

A learning trajectory planning for vibration suppression of industrial robot. - Yanbiao Zou; Tao Liu; Tie Zhang 001; Hubo Chu (Ind. Robot, 2023)

Industrial Robot Hand-Eye Calibration Combining Data Augmentation and Actor-Critic Network. - Lin Li 077; Lin Zhou; Tie Zhang 001; Jingfu Zheng (IEEE Trans. Instrum. Meas., 2023)

An Online Human Dynamic Arm Strength Perception Method Based on Surface Electromyography Signals for Human-Robot Collaboration. - Tie Zhang 001; Hubo Chu; Yanbiao Zou (IEEE Trans. Instrum. Meas., 2023)

Three-dimensional dead reckoning of wall-climbing robot based on information fusion of compound extended Kalman filter. - Lin Li; Zhenye Wei; Tie Zhang 001; Di Cai (J. Field Robotics, 2023)

Study on force control for robot massage with a model-based reinforcement learning algorithm. - Meng Xiao; Tie Zhang 001; Yanbiao Zou; Xiaohu Yan; Wen Wu (Intell. Serv. Robotics, 2023)

Research on Robot Massage Force Control Based on Residual Reinforcement Learning. - Meng Xiao; Tie Zhang 001; Yanbiao Zou; Shouyan Chen; Wen Wu (IEEE Access, 2024)

Image restoration based on vector quantization for robotic automatic welding. - Tie Zhang 001; Mingquan Zhu; Yanbiao Zou (Eng. Appl. Artif. Intell., 2024)

A study on robot force control based on the GMM/GMR algorithm fusing different compensation strategies. - Meng Xiao; Xuefei Zhang; Tie Zhang 001; Shouyan Chen; Yanbiao Zou; Wen Wu (Frontiers Neurorobotics, 2024)

A robust electromyography signals-based interaction interface for human-robot collaboration in 3D operation scenarios. - Tie Zhang 001; Hubo Chu; Yanbiao Zou; Hanlei Sun (Expert Syst. Appl., 2024)

Deep residual attention network for human defecation prediction using bowel sounds. - Tie Zhang 001; Yuanhang Yang; Yanbiao Zou; Jun Zhao; Shenghong Wu (Multim. Tools Appl., 2024)

A lightweight real-time detection method of small objects for home service robots. - Tie Zhang 001; Fangyi Zhao; Yanbiao Zou; Jingfu Zheng (Mach. Vis. Appl., 2024)

Joint torque estimation method of industrial robot by combining error compensation model based on LSTM and iterative weighted parameter identification. - Tie Zhang 001; Yijie Chen; Yanbiao Zou (J. Syst. Control. Eng., 2025)

Assemble like human: A multi-level imitation model learning human perception-decision-operation skills for robot automatic assembly tasks. - Hubo Chu; Tie Zhang 001; Yanbiao Zou; Hanlei Sun (Robotics Comput. Integr. Manuf., 2025)