Bin Li
Orcid: 0000-0002-4028-0938Affiliations:
- Qilu University of Technology (Shandong Academy of Sciences), School of Mathematics and Statistics, Jinan, China
- Shandong Computer Science Center (National Supercomputer Center in Jinan), China
- Shandong Artificial Intelligence Institute, Jinan, China
- Shandong University, School of Control Science and Engineering, Jinan, China (PhD 2012)
- Shandong Institute of Light Industry, Mathematical and Physical Sciences, Jinan, China
According to our database1,
Bin Li
authored at least 32 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
2024
Evol. Syst., October, 2024
Adaptive neural network observer control for a class of nonlinear strict-feedback systems with unmeasurable states.
Int. J. Control, February, 2024
Pattern Recognit. Lett., 2024
IEEE Geosci. Remote. Sens. Lett., 2024
Optimized leader-follower consensus control for high-order nonlinear multi-agent system modeled in canonical dynamic form.
J. Frankl. Inst., 2024
Complete contextual information extraction for self-supervised monocular depth estimation.
Comput. Vis. Image Underst., 2024
2023
Pattern Recognit. Lett., December, 2023
KAMTFENet: a fall detection algorithm based on keypoint attention module and temporal feature extraction.
Int. J. Mach. Learn. Cybern., May, 2023
Optimized Backstepping Tracking Control Using Reinforcement Learning for a Class of Stochastic Nonlinear Strict-Feedback Systems.
IEEE Trans. Neural Networks Learn. Syst., March, 2023
IET Image Process., February, 2023
2022
Optimized Leader-Follower Consensus Control Using Reinforcement Learning for a Class of Second-Order Nonlinear Multiagent Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Optimized Backstepping Control Using Reinforcement Learning of Observer-Critic-Actor Architecture Based on Fuzzy System for a Class of Nonlinear Strict-Feedback Systems.
IEEE Trans. Fuzzy Syst., 2022
Reinforcement learning-based optimised control for a class of second-order nonlinear dynamic systems.
Int. J. Syst. Sci., 2022
IEEE Access, 2022
A Motion Planning and Control Method of Quadruped Robot Based on Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022
2021
Adaptive Neural Network Optimized Control Using Reinforcement Learning of Critic-Actor Architecture for a Class of Non-Affine Nonlinear Systems.
IEEE Access, 2021
Consensus Control for Networked Manipulators With Switched Parameters and Topologies.
IEEE Access, 2021
2020
Optimized Formation Control Using Simplified Reinforcement Learning for a Class of Multiagent Systems With Unknown Dynamics.
IEEE Trans. Ind. Electron., 2020
A Novel Dynamic Path Re-Planning Algorithm With Heading Constraints for Human Following Robots.
IEEE Access, 2020
IEEE Access, 2020
2019
Movements and Balance Control of a Wheel-Leg Robot Based on Uncertainty and Disturbance Estimation Method.
IEEE Access, 2019
Speed and Acceleration Control for a Two Wheel-Leg Robot Based on Distributed Dynamic Model and Whole-Body Control.
IEEE Access, 2019
2018
Algorithms, 2018
Proceedings of the IEEE International Conference on Information and Automation, 2018
Proceedings of the IEEE International Conference on Information and Automation, 2018
2016
Torso motion control and toe trajectory generation of a trotting quadruped robot based on virtual model control.
Adv. Robotics, 2016
2014
Proceedings of the IEEE International Conference on Information and Automation, 2014
2013
Neural Comput. Appl., 2013
2011
Proceedings of the IEEE 5th International Conference on Robotics, 2011
2010
Gait generation and transitions of quadruped robot based on Wilson-Cowan weakly neural networks.
Proceedings of the 2010 IEEE International Conference on Robotics and Biomimetics, 2010
2007
Proceedings of the Advances in Neural Networks, 2007