Guangzhu Peng

17 papers B 1Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2025 B conf
Adaptive Impedance Learning for Robots Interacting With Unknown Environments via Streaming Sparse Gaussian Processes.
SMC
Zheng Fang, Yanzhi Zhong, Guangzhu Peng, Chenguang Yang
2025 J jnl
Force Observer-Based Motion Adaptation and Adaptive Neural Control for Robots in Contact With Unknown Environments.
IEEE Trans. Cybern.
Guangzhu Peng, Tao Li, Yuting Guo, Chengguo Liu, Chenguang Yang, C. L. Philip Chen
2025 J jnl
Neural-Network-Based Optimal Impedance Control for Robots in Physical Interaction With Soft Environments.
IEEE Trans. Syst. Man Cybern. Syst.
Haiyi Kong, Guangzhu Peng, Guang Li, Chenguang Yang
2024 — conf
Adaptive Admittance Control with Dynamical Systems for Optimized Motion Adaptation.
ICARM
Yuting Guo, Guangzhu Peng, Chenguang Yang
2024 J jnl
Approximation-Based Admittance Control of Robot-Environment Interaction With Guaranteed Performance.
IEEE Trans. Syst. Man Cybern. Syst.
Guangzhu Peng, Tao Li, Chenguang Yang, C. L. Philip Chen
2024 J jnl
Neural Control for Human-Robot Interaction with Human Motion Intention Estimation.
IEEE Trans. Ind. Electron.
Guangzhu Peng, Chenguang Yang, C. L. Philip Chen
2024 J jnl
Neural Learning-Based Adaptive Force Tracking Control for Robots With Finite-Time Prescribed Performance Under Varying Environments.
IEEE Trans. Ind. Electron.
Chengguo Liu, Guangzhu Peng, Kai Zhao, Junyang Li, Chenguang Yang
2024 — conf
Optimized Admittance Control for Manipulators Interacting with Unknown Environment.
ICIT
Haiyi Kong, Guangzhu Peng, Guang Li, Chenguang Yang
2024 J jnl
Robot skill learning system of multi-space fusion based on dynamic movement primitives and adaptive neural network control.
Neurocomputing
Chengguo Liu, Guangzhu Peng, Yu Xia, Junyang Li, Chenguang Yang
2024 — conf
Spatial Iterative Learning Control for Robots in Contact with Unknown Environments.
ICIT
Yuting Guo, Guangzhu Peng, Dengxiu Yu, Chenguang Yang
2023 J jnl
Robust Admittance Control of Optimized Robot-Environment Interaction Using Reference Adaptation.
IEEE Trans. Neural Networks Learn. Syst.
Guangzhu Peng, C. L. Philip Chen, Chenguang Yang
2022 J jnl
Neural Networks Enhanced Optimal Admittance Control of Robot-Environment Interaction Using Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Guangzhu Peng, C. L. Philip Chen, Chenguang Yang
2021 J jnl
Force Sensorless Admittance Control for Teleoperation of Uncertain Robot Manipulator Using Neural Networks.
IEEE Trans. Syst. Man Cybern. Syst.
Chenguang Yang, Guangzhu Peng, Long Cheng, Jing Na, Zhijun Li
2021 J jnl
Neural-Learning-Based Force Sensorless Admittance Control for Robots With Input Deadzone.
IEEE Trans. Ind. Electron.
Guangzhu Peng, C. L. Philip Chen, Wei He, Chenguang Yang
2020 J jnl
Force Sensorless Admittance Control With Neural Learning for Robots With Actuator Saturation.
IEEE Trans. Ind. Electron.
Guangzhu Peng, Chenguang Yang, Wei He, C. L. Philip Chen
2019 J jnl
Neural Networks Enhanced Adaptive Admittance Control of Optimized Robot-Environment Interaction.
IEEE Trans. Cybern.
Chenguang Yang, Guangzhu Peng, Yanan Li, Rongxin Cui, Long Cheng, Zhijun Li
2016 — conf
Teleoperation control of Baxter robot based on human motion capture.
ICIA
Guangzhu Peng, Chenguang Yang, Yiming Jiang, Long Cheng, Peidong Liang