Peng Yu
Orcid: 0000-0001-6310-514XAffiliations:
- Sun Yat-sen University, School of Computer Science and Engineering, Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China
According to our database1,
Peng Yu
authored at least 24 papers
between 2021 and 2024.
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Bibliography
2024
Discrete Quad Neural Dynamics for Inverse-Free Control of Model-Unavailable Continuum Robots.
IEEE Trans. Ind. Electron., October, 2024
Unifying Obstacle Avoidance and Tracking Control of Redundant Manipulators Subject to Joint Constraints: A New Data-Driven Scheme.
IEEE Trans. Cogn. Dev. Syst., October, 2024
Uncalibrated and Unmodeled Image-Based Visual Servoing of Robot Manipulators Using Zeroing Neural Networks.
IEEE Trans. Cybern., April, 2024
IEEE Trans. Ind. Informatics, March, 2024
Discrete integral-type zeroing neurodynamics for robust inverse-free and model-free motion control of redundant manipulators.
Comput. Electr. Eng., 2024
2023
Toward Unified Adaptive Teleoperation Based on Damping ZNN for Robot Manipulators With Unknown Kinematics.
IEEE Trans. Ind. Electron., September, 2023
IEEE Trans. Ind. Informatics, May, 2023
A Novel Discretized ZNN Model for Velocity Layer Weighted Multicriteria Optimization of Robotic Manipulators With Multiple Constraints.
IEEE Trans. Ind. Informatics, May, 2023
A Cerebellum-Inspired Network Model and Learning Approaches for Solving Kinematic Tracking Control of Redundant Manipulators.
IEEE Trans. Cogn. Dev. Syst., March, 2023
Comparative studies and performance analysis on neural-dynamics-driven control of redundant robot manipulators with unknown models.
Eng. Appl. Artif. Intell., 2023
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023
GRF-GMM: A Trajectory Optimization Framework for Obstacle Avoidance in Learning from Demonstration.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
2022
New Varying-Parameter Recursive Neural Networks for Model-Free Kinematic Control of Redundant Manipulators With Limited Measurements.
IEEE Trans. Instrum. Meas., 2022
A Discrete Model-Free Scheme for Fault-Tolerant Tracking Control of Redundant Manipulators.
IEEE Trans. Ind. Informatics, 2022
A Dual Fuzzy-Enhanced Neurodynamic Scheme for Model-Less Kinematic Control of Redundant and Hyperredundant Robots.
IEEE Trans. Fuzzy Syst., 2022
Recurrent neural networks as kinematics estimator and controller for redundant manipulators subject to physical constraints.
Neural Networks, 2022
A New Noise-Tolerant Dual-Neural-Network Scheme for Robust Kinematic Control of Robotic Arms With Unknown Models.
IEEE CAA J. Autom. Sinica, 2022
Two model-free schemes for solving kinematic tracking control of redundant manipulators using CMAC networks.
Appl. Soft Comput., 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
2021
Model-free motion control of continuum robots based on a zeroing neurodynamic approach.
Neural Networks, 2021
Robust model-free control for redundant robotic manipulators based on zeroing neural networks activated by nonlinear functions.
Neurocomputing, 2021
Neural-dynamics-enabled Jacobian inversion for model-based kinematic control of multi-section continuum manipulators.
Appl. Soft Comput., 2021
Trajectory Tracking of Soft Continuum Robots with Unknown Models Based on Varying Parameter Recurrent Neural Networks.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Gradient-Zhang Neural Dynamics Models Computing Pseudoinverses of Time-Varying Matrices via ZeaD and Extrapolation Formulas.
Proceedings of the International Joint Conference on Neural Networks, 2021