Zhihao Xu

Orcid: 0000-0003-1344-9731

Affiliations:
  • 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:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

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

A Physical-simulation synergy approach for high-uniformity robotic gluing.
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

A Framework of Robot Skill Learning From Complex and Long-Horizon Tasks.
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

Effective Learning and Online Modulation for Robotic Variable Impedance Skills.
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

Learning robot anomaly recovery skills from multiple time-driven demonstrations.
Neurocomputing, 2021

Collaboration of multiple SCARA robots with guaranteed safety using recurrent neural networks.
Neurocomputing, 2021

Robot Multimodal Anomaly Diagnosis by Learning Time-lagged Complex Dynamics.
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
Fast Object Pose Estimation Using Adaptive Threshold for Bin-Picking.
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

Collision-Free Compliance Control for Redundant Manipulators: An Optimization Case.
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
Characteristic Model Based Position Control for Series Elastic Actuators.
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


  Loading...