A5100349193- Robotic Mechanisms and Dynamics
- Prosthetics and Rehabilitation Robotics
- Robotic Path Planning Algorithms
- Muscle activation and electromyography studies
- Neural Networks and Applications
- Iterative Learning Control Systems
- Robot Manipulation and Learning
- Adaptive Control of Nonlinear Systems
- Stroke Rehabilitation and Recovery
- Industrial Technology and Control Systems
- Advanced Sensor and Control Systems
- Robotic Locomotion and Control
- Plasmonic and Surface Plasmon Research
- EEG and Brain-Computer Interfaces
- Fault Detection and Control Systems
- Hydraulic and Pneumatic Systems
- Credit Risk and Financial Regulations
- Photonic Crystals and Applications
- Piezoelectric Actuators and Control
- Advanced Algorithms and Applications
- Semantic Web and Ontologies
- Advanced Computational Techniques and Applications
- Anomaly Detection Techniques and Applications
- Corporate Finance and Governance
- Advanced Vision and Imaging
University of Electronic Science and Technology of China
2014-2025
The University of Tokyo
2023-2024
Swansea University
2021-2024
Southwest Jiaotong University
2023-2024
Dongguan University of Technology
2022-2024
Harbin Institute of Technology
2019-2023
Tohoku University
2021-2023
Jinan University
2023
Lanzhou University
2010-2022
China Electric Power Research Institute
2022
Nowadays, industrial redundant manipulators have been playing important roles in manufacturing fields, such as welding and assembling, by performing repetitive dull work. Such long-term operations usually require to keep good working conditions maintain steadiness of joint actuation. However, some joints may fall into fault status after enduring long-period heavy manipulations, causing that the desired tasks cannot be accomplished accurately. In this article, we propose a novel...
Circular dichroism (CD) studies on single nanostructures can yield novel insights into chiroptical physics that are not available from traditional ensemble-based measurements, yet they challenging because of their weak signals. By introducing an oblique excitation beam, we demonstrate the observation and spectroscopic analysis a prominent plasmonic response v-shaped gold nanorod dimer nanostructure. We show circular differential scattering obliquely excited yields characteristic bisignate...
Separation of rare earth elements has always been an urgent problem in the industry. Although a variety adsorption materials have developed for and separation elements, it is difficult to achieve high capacity selectivity from most them at same time. In this work, combine advantages good graphene oxide (GO) metal organic frameworks (MOFs), two-dimensional MOFs GO nanocomposite (2D Zn-BDC MOF/GO) were synthesized by solvothermal interlayer-confined strategy. The composite material maximum...
Abstract Manipulators actuate joints to let end effectors perform precise path tracking tasks. Recurrent neural network which is described by dynamic models with parallel processing capability, a powerful tool for kinematic control of manipulators. Due physical limitations and actuation saturation manipulator joints, the involvement joint constraints manipulators essential critical. However, current existing methods based on recurrent networks mainly handle limited levels angular...
The saturated PI (proportional-integral) based method is widely applied in nonlinear system control fields. It can be regarded as a black-box type approach with the input and utilizes tracking error of output its integral information. However, precise description plants' details usually difficult, approaches have to empirically tune proportional parameters guarantee reliable convergence, making general convergence mechanism not interpreted. In this brief, for first time, scheme proved...
Abstract This article proposes a control algorithm for obstacle avoidance and trajectory tracking redundant‐manipulator in smart‐homes. The redundancy provides dexterity flexibility the applications like picking, dropping, transporting objects, predefined paths while avoiding obstacles. is one of critical problems that need to be addressed. Our proposed algorithm, zeroing neural network with beetle antennae search (ZNNBAS), unifies these two into single constrained optimization problem,...
Fault tolerance is a critical requirement for robust motion control of redundant robotic manipulators. This article aims to endow the manipulator with capability achieve required path end-effector in condition that one or some its joints' fail. Although many fault-tolerant algorithms have been proposed recent years. However, few them are on basis model unknown. The complexity calculation limits efficiency and portability these algorithms. For first time, we discrete model-free tracking...
In wireless sensor networks (WSNs), ultra-wideband (UWB) technology is essential for robot localization systems, especially methods of the simultaneous estimation position and orientation. However, current approaches frequently depend on rigid body models, which require multiple base stations lead to substantial equipment costs. This paper presents a cost-effective UWB SL model utilizing angle arrival (AOA) double-sided two-way ranging (DS-TWR). To improve accuracy, we propose...
Ellipse fitting is widely applied in the fields of computer vision and automatic industry control, which procedure ellipse often follows preprocessing step edge detection original image. Therefore, method also depends on accuracy besides their own performance, especially due to introduced outliers point errors from will cause severe performance degradation. In this paper, we develop a robust alleviate influence outliers. The proposed algorithm solves parameters by linearly combining subset...
We propose a deep reinforcement learning method based on Double Q-learning Network(DDQN) to enable mobile robots learn collision avoidance and navigation capabilities autonomously. Information such as target position, obstacle size position is taken input, the direction of movement robot an output. Traditional usually requires real-time accurate fast Simultaneous Localization And Mapping(SLAM) technology for global navigation. aim at scenario that after initial globally feasible path...
The prevalence of ocular abnormalities newborn in China has seldom been reported. To report the implementation digital imaging screening all newborns multiple centres and to describe abnormal findings fundus examination, we did cross-sectional study.Fundus examinations were performed on within 42 days after birth using a RetCam wide-field system. Digital images posterior pole, superior, nasal temporal retinal fields each participant taken. All from eights across January 2009 July 2017.A...
Muscle synergy reflects inherent coordination patterns of muscle groups as the human body finishes required movement. It may be still unknown whether original people alter or not when exoskeletons are put on for subjects during their normal walking activities. This paper reports experimental results and presents analysis 17 able-bodied with without wearing lower-limb they perform tasks. The electromyography (EMG) signals tibialis anterior (TA), soleus (SOL), lateral gastrocnemius (GAS),...
Redundant manipulators play important roles in many industrial and service applications by assisting people fulfill heavy repetitive jobs. However, redundant are coupled highly-nonlinear systems which exert difficulty of redundancy resolution computation. Conventional methods such as pseudo-inverse-based approaches obtain the resolved joint angles from velocity level, may bring about more computational cost neglect limits. In this work, a motion planning method based on beetle antennae...
Recently, neural network model-based control has received wide interests in kinematics of manipulators. To enhance learning ability models, the autoencoder method is used as a powerful tool to achieve deep and gained success recent years. However, performance existing approaches for manipulator may be still largely dependent on quality data, extreme cases with noisy data it even fail. How incorporate model knowledge into controller design an aim increase robustness reliability remains...
This paper presents a model-free real-time kinematic tracking controller for redundant manipulator. Redundant manipulators are common in industrial applications because of the flexibility and dexterity they get from joints. However, at same time, modeling these systems becomes quite challenging, even simple tasks like trajectory tracking. Some classical approaches being used to tackle issue, including numerical approximation Jacobian pseudo-inverse matrix. These have their limitations as...