Jiahao Chen
Orcid: 0000-0003-0044-8887Affiliations:
- University of Chinese Academy of Sciences, Beijing, China
According to our database1,
Jiahao Chen
authored at least 19 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Motion Learning for Musculoskeletal Robots Based on Cortex-Inspired Motor Primitives and Modulation.
IEEE Trans. Cogn. Dev. Syst., April, 2024
Neural Manifold Modulated Continual Reinforcement Learning for Musculoskeletal Robots.
IEEE Trans. Cogn. Dev. Syst., February, 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
2023
A Cerebellum-Inspired Prediction and Correction Model for Motion Control of a Musculoskeletal Robot.
IEEE Trans. Cogn. Dev. Syst., September, 2023
Frontiers Neurorobotics, June, 2023
Brain-inspired Intelligent Robotics: Theoretical Analysis and Systematic Application.
Int. J. Autom. Comput., 2023
2022
Editorial: Human inspired robotic intelligence and structure in demanding environments.
Frontiers Neurorobotics, September, 2022
Fuzzy Approximation-Based Task-Space Control of Robot Manipulators With Remote Center of Motion Constraint.
IEEE Trans. Fuzzy Syst., 2022
A Survey of Brain-Inspired Intelligent Robots: Integration of Vision, Decision, Motion Control, and Musculoskeletal Systems.
IEEE Trans. Cybern., 2022
Motion Learning and Rapid Generalization for Musculoskeletal Systems Based on Recurrent Neural Network Modulated by Initial States.
IEEE Trans. Cogn. Dev. Syst., 2022
Motor-Cortex-Like Recurrent Neural Network and Multitask Learning for the Control of Musculoskeletal Systems.
IEEE Trans. Cogn. Dev. Syst., 2022
Recurrent Neural Network based Partially Observed Feedback Control of Musculoskeletal Robots.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022
2021
Muscle-Synergies-Based Neuromuscular Control for Motion Learning and Generalization of a Musculoskeletal System.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Neurocomputing, 2021
2020
IEEE Trans. Cogn. Dev. Syst., 2020
2019
Realizing human-like manipulation with a musculoskeletal system and biologically inspired control scheme.
Neurocomputing, 2019
From Rough to Precise: Human-Inspired Phased Target Learning Framework for Redundant Musculoskeletal Systems.
Frontiers Neurorobotics, 2019
2016
Biologically inspired model simulating visual pathways and cerebellum function in human - Achieving visuomotor coordination and high precision movement with learning ability.
CoRR, 2016