Kai Guo

Orcid: 0000-0002-3451-7732

Affiliations:
  • Shandong University, Department of Mechanical Engineering, Jinan, China
  • Zhejiang University, Hangzhou, China (PhD 2015)


According to our database1, Kai Guo authored at least 25 papers between 2018 and 2025.

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

Timeline

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Bibliography

2025
Modified Data-Driven Disturbance Observer With Its Application in Quadrant Glitch Compensation of Ball Screw Feed-Drive System.
IEEE Trans. Ind. Electron., January, 2025

2024
Composite Error Learning Robot Control Using Discontinuous Lyapunov Analysis.
IEEE Trans. Autom. Control., March, 2024

SE-U-Lite: Milling Tool Wear Segmentation Based on Lightweight U-Net Model With Squeeze-and-Excitation Module.
IEEE Trans. Instrum. Meas., 2024

Composite Learning Exponential Tracking Robot Control With Uncertain Kinematics and Dynamics.
IEEE Control. Syst. Lett., 2024

Analysis and Compensation of Kinematic and Hysteresis Errors in Industrial Robots.
IEEE Access, 2024

2023
Set-Membership Adaptive Robot Control With Deterministically Bounded Learning Gains.
IEEE Trans. Ind. Informatics, August, 2023

Composite adaptation and learning for robot control: A survey.
Annu. Rev. Control., January, 2023

Kinematic Calibration and Compensation of Industrial Robots Based on Extended Joint Space.
IEEE Access, 2023

2022
Adaptive Tracking Control of Hydraulic Systems With Improved Parameter Convergence.
IEEE Trans. Ind. Electron., 2022

Locally Weighted Learning Robot Control With Improved Parameter Convergence.
IEEE Trans. Ind. Electron., 2022

Optimal Bounded Ellipsoid Identification With Deterministic and Bounded Learning Gains: Design and Application to Euler-Lagrange Systems.
IEEE Trans. Cybern., 2022

Indirect adaptive control of multi-input-multi-output nonlinear singularly perturbed systems with model uncertainties.
Neurocomputing, 2022

Bioinspired composite learning control under discontinuous friction for industrial robots.
CoRR, 2022

2021
Method of Postures Selection for Industrial Robot Joint Stiffness Identification.
IEEE Access, 2021

Design and Analysis of a Linear Digital Variable Stiffness Actuator.
IEEE Access, 2021

Research on Tool Wear Detection Method Using Deep Residual Network.
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

Research on Robot Grinding Force Control Method.
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

Variable Stiffness Actuator Structure for Robot.
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

2020
Composite learning control of robotic systems: A least squares modulated approach.
Autom., 2020

2019
Identification and Control of Nonlinear Systems Using Neural Networks: A Singularity-Free Approach.
IEEE Trans. Neural Networks Learn. Syst., 2019

Composite Learning Robot Control With Friction Compensation: A Neural Network-Based Approach.
IEEE Trans. Ind. Electron., 2019

Singularity Analysis of Cutting Force and Vibration for Tool Condition Monitoring in Milling.
IEEE Access, 2019

Parallel Velocity Control of an Electro-Hydraulic Actuator With Dual Disturbance Observers.
IEEE Access, 2019

2018
A Switched Controller Design for Supply Pressure Tracking of Variable Displacement Axial Piston Pumps.
IEEE Access, 2018

A novel energy efficient electro-hydraulic actuation system and its force control design.
Proceedings of the 3rd International Conference on Advanced Robotics and Mechatronics, 2018


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