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2020 – today
- 2024
[j10]Chengguo Liu
, Guangzhu Peng, Yu Xia, Junyang Li, Chenguang Yang:
Robot skill learning system of multi-space fusion based on dynamic movement primitives and adaptive neural network control. Neurocomputing 574: 127248 (2024)- [j9]Guangzhu Peng, Chenguang Yang, C. L. Philip Chen:
Neural Control for Human-Robot Interaction with Human Motion Intention Estimation. IEEE Trans. Ind. Electron. 71(12): 16317-16326 (2024) - [j8]Chengguo Liu, Guangzhu Peng, Kai Zhao, Junyang Li, Chenguang Yang:
Neural Learning-Based Adaptive Force Tracking Control for Robots With Finite-Time Prescribed Performance Under Varying Environments. IEEE Trans. Ind. Electron. 71(12): 16338-16347 (2024) - [j7]Guangzhu Peng, Tao Li, Chenguang Yang, C. L. Philip Chen:
Approximation-Based Admittance Control of Robot-Environment Interaction With Guaranteed Performance. IEEE Trans. Syst. Man Cybern. Syst. 54(10): 6482-6494 (2024) - [c4]Yuting Guo, Guangzhu Peng, Chenguang Yang:
Adaptive Admittance Control with Dynamical Systems for Optimized Motion Adaptation. ICARM 2024: 1032-1037 - [c3]Yuting Guo, Guangzhu Peng, Dengxiu Yu, Chenguang Yang:
Spatial Iterative Learning Control for Robots in Contact with Unknown Environments. ICIT 2024: 1-6 - [c2]Haiyi Kong, Guangzhu Peng, Guang Li, Chenguang Yang:
Optimized Admittance Control for Manipulators Interacting with Unknown Environment. ICIT 2024: 1-6 - 2023
- [j6]Guangzhu Peng, C. L. Philip Chen, Chenguang Yang:
Robust Admittance Control of Optimized Robot-Environment Interaction Using Reference Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5804-5815 (2023) - 2022
- [j5]Guangzhu Peng, C. L. Philip Chen, Chenguang Yang:
Neural Networks Enhanced Optimal Admittance Control of Robot-Environment Interaction Using Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4551-4561 (2022) - 2021
- [j4]Guangzhu Peng, C. L. Philip Chen, Wei He, Chenguang Yang:
Neural-Learning-Based Force Sensorless Admittance Control for Robots With Input Deadzone. IEEE Trans. Ind. Electron. 68(6): 5184-5196 (2021) - [j3]Chenguang Yang, Guangzhu Peng, Long Cheng, Jing Na, Zhijun Li:
Force Sensorless Admittance Control for Teleoperation of Uncertain Robot Manipulator Using Neural Networks. IEEE Trans. Syst. Man Cybern. Syst. 51(5): 3282-3292 (2021) - 2020
- [j2]Guangzhu Peng, Chenguang Yang, Wei He, C. L. Philip Chen:
Force Sensorless Admittance Control With Neural Learning for Robots With Actuator Saturation. IEEE Trans. Ind. Electron. 67(4): 3138-3148 (2020)
2010 – 2019
- 2019
- [j1]Chenguang Yang, Guangzhu Peng, Yanan Li, Rongxin Cui, Long Cheng, Zhijun Li:
Neural Networks Enhanced Adaptive Admittance Control of Optimized Robot-Environment Interaction. IEEE Trans. Cybern. 49(7): 2568-2579 (2019) - 2016
- [c1]Guangzhu Peng, Chenguang Yang, Yiming Jiang, Long Cheng, Peidong Liang:
Teleoperation control of Baxter robot based on human motion capture. ICIA 2016: 1026-1031
Coauthor Index
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