Jiahao Chen

Orcid: 0000-0003-0044-8887

Affiliations:
  • University of Chinese Academy of Sciences, Beijing, China


According to our database1, Jiahao Chen authored at least 18 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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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

2023
A Cerebellum-Inspired Prediction and Correction Model for Motion Control of a Musculoskeletal Robot.
IEEE Trans. Cogn. Dev. Syst., September, 2023

Recent advancements in multimodal human-robot interaction.
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

Anti-interference analysis of bio-inspired musculoskeletal robotic system.
Neurocomputing, 2021

2020
Reducing Redundancy of Musculoskeletal Robot With Convex Hull Vertexes Selection.
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


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