Huashan Liu
Orcid: 0000-0002-8209-4922
According to our database1,
Huashan Liu
authored at least 15 papers
between 2010 and 2023.
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Collaborative distances:
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Bibliography
2023
Robotic motion planning with obstacle avoidance based on hierarchical deep reinforcement learning.
Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering, 2023
2022
Extensively Explored and Evaluated Actor-Critic With Expert-Guided Policy Learning and Fuzzy Feedback Reward for Robotic Trajectory Generation.
IEEE Trans. Ind. Informatics, 2022
A Holistic Power Management Strategy of Microgrids Based on Model Predictive Control and Particle Swarm Optimization.
IEEE Trans. Ind. Informatics, 2022
A General Framework of Motion Planning for Redundant Robot Manipulator Based on Deep Reinforcement Learning.
IEEE Trans. Ind. Informatics, 2022
2021
Easy Pose-Error Calibration for Articulated Serial Robot Based on Three-Closed-Loop Transformations.
IEEE Trans. Instrum. Meas., 2021
Adaptive neural backstepping control for flexible-joint robot manipulator with bounded torque inputs.
Neurocomputing, 2021
2020
A Novel Post-Processing Method Based on a Weighted Composite Filter for Enhancing Semantic Segmentation Results.
Sensors, 2020
2019
Exponential stability for Markovian neutral stochastic systems with general transition probabilities and time-varying delay.
Trans. Inst. Meas. Control, 2019
2018
Robust adaptive output feedback tracking control for flexible-joint robot manipulators based on singularly perturbed decoupling.
Robotica, 2018
2017
Int. J. Syst. Sci., 2017
Int. J. Robotics Autom., 2017
2016
Saturated adaptive back-stepping control for robot manipulators with RBF neural network approximation.
Proceedings of the IEEE International Conference on Information and Automation, 2016
Proceedings of the IEEE International Conference on Information and Automation, 2016
2014
Almost surely exponential stability of neural networks with Lévy noise and Markovian switching.
Neurocomputing, 2014
2010
Saturated output feedback tracking control for robot manipulators via fuzzy self-tuning.
J. Zhejiang Univ. Sci. C, 2010