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Application of the robot-assisted implantation in deep brain stimulation
Application of the robot-assisted implantation in deep brain stimulation
IntroductionThis work aims to assess the accuracy of robotic assistance guided by a videometric tracker in deep brain stim...
Design and dynamic analysis of jumping wheel-legged robot in complex terrain environment
Design and dynamic analysis of jumping wheel-legged robot in complex terrain environment
Wheel-legged robots have fast and stable motion characteristics on flat roads, but there are the problems of poor balance ...
Odor source localization of multi-robots with swarm intelligence algorithms: A review
Odor source localization of multi-robots with swarm intelligence algorithms: A review
The use of robot swarms for odor source localization (OSL) can better adapt to the reality of unstable turbulence and find...
Corrigendum: G-Exos: A wearable gait exoskeleton for walk assistance
Corrigendum: G-Exos: A wearable gait exoskeleton for walk assistance
Error in Figure/TableIn the published article, there was an error in [Figure 1] as published. For safety, the figure 1 sh...
Intelligent air defense task assignment based on hierarchical reinforcement learning
Intelligent air defense task assignment based on hierarchical reinforcement learning
Modern air defense battlefield situations are complex and varied, requiring high-speed computing capabilities and real-tim...
Siamese hierarchical feature fusion transformer for efficient tracking
Siamese hierarchical feature fusion transformer for efficient tracking
Object tracking is a fundamental task in computer vision. Recent years, most of the tracking algorithms are based on deep ...
Coordinating human-robot collaboration by EEG-based human intention prediction and vigilance control
Coordinating human-robot collaboration by EEG-based human intention prediction and vigilance control
In human-robot collaboration scenarios with shared workspaces, a highly desired performance boost is offset by high requir...
Physical-model guided self-distillation network for single image dehazing
Physical-model guided self-distillation network for single image dehazing
MotivationImage dehazing, as a key prerequisite of high-level computer vision tasks, has gained extensive attention in rec...
UVMS task-priority planning framework for underwater task goal classification optimization
UVMS task-priority planning framework for underwater task goal classification optimization
This paper presents a task prioritization strategy based on a generic underwater task goal classification transformation f...
DWFed: A statistical- heterogeneity-based dynamic weighted model aggregation algorithm for federated learning
DWFed: A statistical- heterogeneity-based dynamic weighted model aggregation algorithm for federated learning
Federated Learning is a distributed machine learning framework that aims to train a global shared model while keeping thei...
A triple-step controller with linear active disturbance rejection control for a lower limb rehabilitation robot
A triple-step controller with linear active disturbance rejection control for a lower limb rehabilitation robot
Lower limb rehabilitation robots (LLRRs) have shown promising potential in assisting hemiplegic patients to recover their ...
An overview of brain-like computing: Architecture, applications, and future trends
An overview of brain-like computing: Architecture, applications, and future trends
With the development of technology, Moore's law will come to an end, and scientists are trying to find a new way out i...
Research on autonomous route generation method based on AIS ship trajectory big data and improved LSTM algorithm
Research on autonomous route generation method based on AIS ship trajectory big data and improved LSTM algorithm
The autonomous generation of routes is an important part of ship intelligence and it can be realized by deep learning of t...
Bearing fault diagnosis based on particle swarm optimization fusion convolutional neural network
Bearing fault diagnosis based on particle swarm optimization fusion convolutional neural network
Bearings are the most basic and important mechanical parts. The stable and safe operation of the equipment requires bearin...
Variational deep embedding-based active learning for the diagnosis of pneumonia
Variational deep embedding-based active learning for the diagnosis of pneumonia
Machine learning works similar to the way humans train their brains. In general, previous experiences prepared the brain b...
Enhanced You Only Look Once X for surface defect detection of strip steel
Enhanced You Only Look Once X for surface defect detection of strip steel
Using deep learning-based methods to detect surface defects in strip steel can reduce the impact of human factors and lowe...
Design and torque control base on neural network PID of a variable stiffness joint for rehabilitation robot
Design and torque control base on neural network PID of a variable stiffness joint for rehabilitation robot
Variable stiffness joints have been gradually applied in rehabilitation robots because of their intrinsic compliance and g...
Combining Max pooling-Laplacian theory and k-means clustering for novel camouflage pattern design
Combining Max pooling-Laplacian theory and k-means clustering for novel camouflage pattern design
Camouflage is the main means of anti-optical reconnaissance, and camouflage pattern design is an extremely important step ...
Multi-view SoftPool attention convolutional networks for 3D model classification
Multi-view SoftPool attention convolutional networks for 3D model classification
IntroductionExisting multi-view-based 3D model classification methods have the problems of insufficient view refinement fe...
A detection method of the rescue targets in the marine casualty based on improved YOLOv5s
A detection method of the rescue targets in the marine casualty based on improved YOLOv5s
In recent years, with the deep exploitation of marine resources and the development of maritime transportation, ship colli...
The comparison of electroencephalography power and event related potential in success and failure during multitask game
The comparison of electroencephalography power and event related potential in success and failure during multitask game
The first game-based treatment for children with attention-deficit hyperactivity disorder (ADHD) was approved by the Unite...
Multimodal medical image fusion using convolutional neural network and extreme learning machine
Multimodal medical image fusion using convolutional neural network and extreme learning machine
The emergence of multimodal medical imaging technology greatly increases the accuracy of clinical diagnosis and etiologica...
Vital information matching in vision-and-language navigation
Vital information matching in vision-and-language navigation
With the rapid development of artificial intelligence technology, many researchers have begun to focus on visual language ...
G-Exos: A wearable gait exoskeleton for walk assistance
G-Exos: A wearable gait exoskeleton for walk assistance
Stroke is the second leading cause of death and one of the leading causes of disability in the world. According to the Wor...
Compound motion decoding based on sEMG consisting of gestures, wrist angles, and strength
Compound motion decoding based on sEMG consisting of gestures, wrist angles, and strength
This study aimed to highlight the demand for upper limb compound motion decoding to provide a more diversified and flexibl...