Shanlin Zhong
Orcid: 0000-0003-3551-0839
According to our database1,
Shanlin Zhong
authored at least 18 papers
between 2016 and 2024.
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Bibliography
2024
IEEE Trans Autom. Sci. Eng., April, 2024
Controlling Musculoskeletal System with Spinal Cord-Inspired Constraint Force Field Primitives.
Unmanned Syst., March, 2024
A Bio-Inspired Integration Model of Basal Ganglia and Cerebellum for Motion Learning of a Musculoskeletal Robot.
J. Syst. Sci. Complex., February, 2024
Multi-Brain-Region Fusion Neural Network for Motion Control of Musculoskeletal Robot.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2024
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2024
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2024
2023
Brain-inspired Intelligent Robotics: Theoretical Analysis and Systematic Application.
Int. J. Autom. Comput., 2023
Learning Pre-Grasp Manipulation of Flat Objects in Cluttered Environments using Sliding Primitives.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
2022
Editorial: Human inspired robotic intelligence and structure in demanding environments.
Frontiers Neurorobotics, September, 2022
Hierarchical Motion Learning for Goal-Oriented Movements With Speed-Accuracy Tradeoff of a Musculoskeletal System.
IEEE Trans. Cybern., 2022
Sci. China Inf. Sci., 2022
Constructing Constraint Force Field in Musculoskeletal Robot by Co-optimizing Muscle Arrangements and Constant Activations.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
2020
IEEE Trans. Cogn. Dev. Syst., 2020
2019
Realizing human-like manipulation with a musculoskeletal system and biologically inspired control scheme.
Neurocomputing, 2019
2018
A Novel Biologically Inspired Visual Cognition Model: Automatic Extraction of Semantics, Formation of Integrated Concepts, and Reselection Features for Ambiguity.
IEEE Trans. Cogn. Dev. Syst., 2018
2016
A Novel Biologically Mechanism-Based Visual Cognition Model-Automatic Extraction of Semantics, Formation of Integrated Concepts and Re-selection Features for Ambiguity.
CoRR, 2016