Longbin Zhang

Orcid: 0000-0001-8785-5885

According to our database1, Longbin Zhang authored at least 27 papers between 2015 and 2024.

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Bibliography

2024
EMG-Constrained and Ultrasound-Informed Muscle-Tendon Parameter Estimation in Post-Stroke Hemiparesis.
IEEE Trans. Biomed. Eng., June, 2024

Global and Local Spatio-Temporal Encoder for 3D Human Pose Estimation.
IEEE Trans. Multim., 2024

2023
Knee Joint Torque Prediction with Uncertainties by a Neuromusculoskeletal Solver-informed Gaussian Process Model.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

2022
Editorial: Human inspired robotic intelligence and structure in demanding environments.
Frontiers Neurorobotics, September, 2022

Ankle Joint Torque Prediction Using an NMS Solver Informed-ANN Model and Transfer Learning.
IEEE J. Biomed. Health Informatics, 2022

Multimodal data fusion framework enhanced robot-assisted minimally invasive surgery.
Trans. Inst. Meas. Control, 2022

2021
Ankle Joint Torque Estimation Using an EMG-Driven Neuromusculoskeletal Model and an Artificial Neural Network Model.
IEEE Trans Autom. Sci. Eng., 2021

Modeling and Simulation of a Human Knee Exoskeleton's Assistive Strategies and Interaction.
Frontiers Neurorobotics, 2021

A novel autonomous learning framework to enhance sEMG-based hand gesture recognition using depth information.
Biomed. Signal Process. Control., 2021

Weight Distribution of a Knee Exoskeleton Influences Muscle Activities During Movements.
IEEE Access, 2021

2020
A novel muscle-computer interface for hand gesture recognition using depth vision.
J. Ambient Intell. Humaniz. Comput., 2020

Neural fuzzy approximation enhanced autonomous tracking control of the wheel-legged robot under uncertain physical interaction.
Neurocomputing, 2020

Disturbance-Observer-Based Fuzzy Control for a Robot Manipulator Using an EMG-Driven Neuromusculoskeletal Model.
Complex., 2020

Deep C-LSTM Neural Network for Epileptic Seizure and Tumor Detection Using High-Dimension EEG Signals.
IEEE Access, 2020

A Muscle Teleoperation System of a Robotic Rollator Based on Bilateral Shared Control.
IEEE Access, 2020

Adaptive Neural Network Control for a Lower-Limb Exoskeleton using Variable Stiffness Transferring.
Proceedings of the 5th International Conference on Advanced Robotics and Mechatronics, 2020

A Human-Robot Skill Transfer Framework of Mobile Medical Robots for Autonomous Motion with Teaching by Demonstration.
Proceedings of the 5th International Conference on Advanced Robotics and Mechatronics, 2020

Fuzzy Adaptive Control-based Real-time Obstacle Avoidance under Uncertain Perturbations.
Proceedings of the 5th International Conference on Advanced Robotics and Mechatronics, 2020

2019
Towards Model-Free Tool Dynamic Identification and Calibration Using Multi-Layer Neural Network.
Sensors, 2019

Nonlinear Model Predictive Control for Mobile Robot Using Varying-Parameter Convergent Differential Neural Network.
Robotics, 2019

2018
Skew-aware online aggregation over joins through guided sampling.
Concurr. Comput. Pract. Exp., 2018

2017
Adaptive Neural Network Based Variable Stiffness Control of Uncertain Robotic Systems Using Disturbance Observer.
IEEE Trans. Ind. Electron., 2017

Brain-Machine Interface and Visual Compressive Sensing-Based Teleoperation Control of an Exoskeleton Robot.
IEEE Trans. Fuzzy Syst., 2017

Logic-Partition Based Gaussian Sampling for Online Aggregation.
Proceedings of the Fifth International Conference on Advanced Cloud and Big Data, 2017

2016
Disturbance observer-based adaptive neural control for a class of uncertain MIMO systems with state and input constraints.
Proceedings of the 2016 International Conference on Advanced Robotics and Mechatronics, 2016

2015
A multi-level collaboration low-power design based on embedded system.
Proceedings of the 28th IEEE International System-on-Chip Conference, 2015

Adaptive neural network control for uncertain MIMO robotic systems with time-varying delay and unknown backlash-like hysteresis.
Proceedings of the IEEE International Conference on Information and Automation, 2015


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