Zhihao Xu
Orcid: 0000-0003-1344-9731Affiliations:
- Guangdong Academy of Sciences, Institute of Intelligent Manufacturing, Guangdong Key Laboratory of Modern Control Technology, Guangzhou, China
- Nanjing University of Science and Technology, School of Automation, Nanjing, China (PhD 2016)
According to our database1,
Zhihao Xu
authored at least 34 papers
between 2017 and 2025.
Collaborative distances:
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Bibliography
2025
Learning Target-Directed Skill and Variable Impedance Control From Interactive Demonstrations for Robot-Assisted Soft Tissue Puncture Tasks.
IEEE Trans Autom. Sci. Eng., 2025
Robotics Comput. Integr. Manuf., 2025
Global Path Planning of climbing robot for weld Quality Inspection in Large Scale Storage Tanks.
Int. J. Robotics Autom., 2025
2024
Uncertainty-aware error modeling and hierarchical redundancy optimization for robotic surface machining.
Robotics Comput. Integr. Manuf., June, 2024
Distance- and Velocity-Based Simultaneous Obstacle Avoidance and Target Tracking for Multiple Wheeled Mobile Robots.
IEEE Trans. Intell. Transp. Syst., February, 2024
2023
Real-time solution of multi-constrained quadratic programming problem for redundant manipulator based on recurrent neural network.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023
Vision-based Defects Detection and Interactive Impedance Control in Robotic Automated Layup Tasks.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023
2022
Motion Planning of Manipulators for Simultaneous Obstacle Avoidance and Target Tracking: An RNN Approach With Guaranteed Performance.
IEEE Trans. Ind. Electron., 2022
Simultaneous Obstacle Avoidance and Target Tracking of Multiple Wheeled Mobile Robots With Certified Safety.
IEEE Trans. Cybern., 2022
IEEE Trans Autom. Sci. Eng., 2022
A Framework of Improving Human Demonstration Efficiency for Goal-Directed Robot Skill Learning.
IEEE Trans. Cogn. Dev. Syst., 2022
Multimodal Prediction-Based Robot Abnormal Movement Identification Under Variable Time-length Experiences.
J. Intell. Robotic Syst., 2022
Dynamic neural networks based adaptive optimal impedance control for redundant manipulators under physical constraints.
Neurocomputing, 2022
PyrAug: Gaussian Pyramid-based Multi-scale Data Augmentation for Panoptic Plant Segmentation with Ambiguous Boundary.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022
A Framework of Rehabilitation-assisted Robot Skill Representation, Learning, and Modulation via Manifold-Mappings and Gaussian Processes.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
2021
Dynamic Neural Networks for Motion-Force Control of Redundant Manipulators: An Optimization Perspective.
IEEE Trans. Ind. Electron., 2021
A Vary-Parameter Convergence-Accelerated Recurrent Neural Network for Online Solving Dynamic Matrix Pseudoinverse and its Robot Application.
Neural Process. Lett., 2021
Neurocomputing, 2021
Collaboration of multiple SCARA robots with guaranteed safety using recurrent neural networks.
Neurocomputing, 2021
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021
Kinematic control of wheeled mobile manipulators subject to inherent physical constraints and noise disturbances.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021
Robust Formation Tracking of Multiple Wheeled Mobile Robots Under External Disturbance.
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021
2020
IEEE Access, 2020
Recurrent Neural Networks-Based Collision-Free Motion Planning for Dual Manipulators Under Multiple Constraints.
IEEE Access, 2020
Cooperative Kinematic Control for Multiple Redundant Manipulators Under Partially Known Information Using Recurrent Neural Network.
IEEE Access, 2020
2019
Dynamic neural networks based kinematic control for redundant manipulators with model uncertainties.
Neurocomputing, 2019
Dynamic neural networks based adaptive admittance control for redundant manipulators with model uncertainties.
Neurocomputing, 2019
Frontiers Neurorobotics, 2019
Deep Recurrent Neural Networks Based Obstacle Avoidance Control for Redundant Manipulators.
Frontiers Neurorobotics, 2019
Incremental Learning Introspective Movement Primitives From Multimodal Unstructured Demonstrations.
IEEE Access, 2019
2018
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018
2017
Adaptive task-space tracking for robot manipulators with uncertain kinematics and dynamics and without using acceleration.
Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017
Fuzzy-neural-network based position/force hybrid control for multiple robot manipulators.
Proceedings of the 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2017