Guangzhu Peng

Orcid: 0000-0003-3950-0451

According to our database1, Guangzhu Peng authored at least 14 papers between 2016 and 2024.

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

Timeline

2016
2017
2018
2019
2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Neural Control for Human-Robot Interaction with Human Motion Intention Estimation.
IEEE Trans. Ind. Electron., December, 2024

Neural Learning-Based Adaptive Force Tracking Control for Robots With Finite-Time Prescribed Performance Under Varying Environments.
IEEE Trans. Ind. Electron., December, 2024

Approximation-Based Admittance Control of Robot-Environment Interaction With Guaranteed Performance.
IEEE Trans. Syst. Man Cybern. Syst., October, 2024

Robot skill learning system of multi-space fusion based on dynamic movement primitives and adaptive neural network control.
Neurocomputing, March, 2024

Optimized Admittance Control for Manipulators Interacting with Unknown Environment.
Proceedings of the IEEE International Conference on Industrial Technology, 2024

Spatial Iterative Learning Control for Robots in Contact with Unknown Environments.
Proceedings of the IEEE International Conference on Industrial Technology, 2024

Adaptive Admittance Control with Dynamical Systems for Optimized Motion Adaptation.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2024

2023
Robust Admittance Control of Optimized Robot-Environment Interaction Using Reference Adaptation.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

2022
Neural Networks Enhanced Optimal Admittance Control of Robot-Environment Interaction Using Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

2021
Force Sensorless Admittance Control for Teleoperation of Uncertain Robot Manipulator Using Neural Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Neural-Learning-Based Force Sensorless Admittance Control for Robots With Input Deadzone.
IEEE Trans. Ind. Electron., 2021

2020
Force Sensorless Admittance Control With Neural Learning for Robots With Actuator Saturation.
IEEE Trans. Ind. Electron., 2020

2019
Neural Networks Enhanced Adaptive Admittance Control of Optimized Robot-Environment Interaction.
IEEE Trans. Cybern., 2019

2016
Teleoperation control of Baxter robot based on human motion capture.
Proceedings of the IEEE International Conference on Information and Automation, 2016


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