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Flexible control and trajectory planning of medical two-arm surgical robot
Flexible control and trajectory planning of medical two-arm surgical robot
With the continuous development of medical technology and the progress of robot technology, more and more robots are appli...
Target detection and classification via EfficientDet and CNN over unmanned aerial vehicles
Target detection and classification via EfficientDet and CNN over unmanned aerial vehicles
; img_framesOutput: B = (n0, n1, …, nN): class_result.detected_vehicles ← []: Vehicle Detectionsfeature_vectors ← []: Feat...
An efficient grasping shared control architecture for unpredictable and unspecified tasks
An efficient grasping shared control architecture for unpredictable and unspecified tasks
1 Introduction Research on robot control has been an active area of investigation for several decades, with applications ...
A novel signal channel attention network for multi-modal emotion recognition
A novel signal channel attention network for multi-modal emotion recognition
1 Introduction Multi-modal signal recognition is a critical area of research within multi-modal fusion, encompassing fiel...
Multi-modal remote perception learning for object sensory data
Multi-modal remote perception learning for object sensory data
1 Introduction Intelligent systems acquire information about their surroundings by engaging in contextual scene learning...
MLFGCN: short-term residential load forecasting via graph attention temporal convolution network
MLFGCN: short-term residential load forecasting via graph attention temporal convolution network
1 Introduction With the development of society, human demand for electricity is constantly increasing, among which resid...
Human in the collaborative loop: a strategy for integrating human activity recognition and non-invasive brain-machine interfaces to control collaborative robots
Human in the collaborative loop: a strategy for integrating human activity recognition and non-invasive brain-machine interfaces to control collaborative robots
1 Introduction Robots are becoming part of daily human life. From care homes to factories, robots help humans in repetit...
Swimtrans Net: a multimodal robotic system for swimming action recognition driven via Swin-Transformer
Swimtrans Net: a multimodal robotic system for swimming action recognition driven via Swin-Transformer
1 Introduction Swim motion recognition, as an important research field in motion pattern analysis, holds both academic re...
ACA-Net: adaptive context-aware network for basketball action recognition
ACA-Net: adaptive context-aware network for basketball action recognition
1 Introduction In recent years, the integration of neural network models in autonomous systems has revolutionized various...
Fast reconstruction of milling temperature field based on CNN-GRU machine learning models
Fast reconstruction of milling temperature field based on CNN-GRU machine learning models
1 Introduction In the era of Industry 4.0, China’s manufacturing industry is undergoing a profound transformation, and t...
The SocialAI school: a framework leveraging developmental psychology toward artificial socio-cultural agents
The SocialAI school: a framework leveraging developmental psychology toward artificial socio-cultural agents
1 Introduction Our everyday life is immersed in a sociocultural world, which we navigate using a set of sophisticated soc...
Sports-ACtrans Net: research on multimodal robotic sports action recognition driven via ST-GCN
Sports-ACtrans Net: research on multimodal robotic sports action recognition driven via ST-GCN
1 Introduction Robot sports action recognition is a significant research direction in computer vision and machine learnin...
CAM-Vtrans: real-time sports training utilizing multi-modal robot data
CAM-Vtrans: real-time sports training utilizing multi-modal robot data
1 Introduction In the field of sports technology, the application of deep learning and machine learning techniques to enh...
NAN-DETR: noising multi-anchor makes DETR better for object detection
NAN-DETR: noising multi-anchor makes DETR better for object detection
1 Introduction Object detection remains a cornerstone task in robotic vision, with the primary objective of accurately id...
Noisy Dueling Double Deep Q-Network algorithm for autonomous underwater vehicle path planning
Noisy Dueling Double Deep Q-Network algorithm for autonomous underwater vehicle path planning
1 Introduction With the rapid advancement of artificial intelligence, the autonomous underwater vehicle (AUV) is utilized...
Design and analysis of exoskeleton devices for rehabilitation of distal radius fracture
is attached in the forearm module, in which the Z0 axis is coincide with the rotation axis of F/E movement. Here, the mot...
Erratum: Swimtrans Net: a multimodal robotic system for swimming action recognition driven via Swin-Transformer
An erratum on: Chen H and Yue X (2024) Swimtrans Net: a multimodal robotic system for swimming action recognition driven v...
Cascade contour-enhanced panoptic segmentation for robotic vision perception
1 Introduction In recent years, camera-based perception systems have been widely used in various kinds of robots, which b...
TL-CStrans Net: a vision robot for table tennis player action recognition driven via CS-Transformer
1 Introduction Table tennis is a highly technical and fast-paced sport, and the recognition of players' movements during ...
A modified A* algorithm combining remote sensing technique to collect representative samples from unmanned surface vehicles
A modified A* algorithm combining remote sensing technique to collect representative samples from unmanned surface vehicles
1 Introduction Water pollution has long been a critical global concern (Schwarzenbach et al., 2010). Daily water safety ...
Hybrid knowledge transfer for MARL based on action advising and experience sharing
Hybrid knowledge transfer for MARL based on action advising and experience sharing
Multiagent Reinforcement Learning (MARL) has been well adopted due to its exceptional ability to solve multiagent decision...
Counting dense object of multiple types based on feature enhancement
Counting dense object of multiple types based on feature enhancement
IntroductionAccurately counting the number of dense objects in an image, such as pedestrians or vehicles, is a challenging...
Remote intelligent perception system for multi-object detection
Remote intelligent perception system for multi-object detection
IntroductionDuring the last few years, a heightened interest has been shown in classifying scene images depicting diverse ...
TP-GCL: graph contrastive learning from the tensor perspective
TP-GCL: graph contrastive learning from the tensor perspective
Graph Neural Networks (GNNs) have demonstrated significant potential as powerful tools for handling graph data in various ...
Machine unlearning in brain-inspired neural network paradigms
Machine unlearning in brain-inspired neural network paradigms
Machine unlearning, which is crucial for data privacy and regulatory compliance, involves the selective removal of specifi...
An adaptive discretized RNN algorithm for posture collaboration motion control of constrained dual-arm robots
An adaptive discretized RNN algorithm for posture collaboration motion control of constrained dual-arm robots
Although there are many studies on repetitive motion control of robots, few schemes and algorithms involve posture collabo...
Real-time precision detection algorithm for jellyfish stings in neural computing, featuring adaptive deep learning enhanced by an advanced YOLOv4 framework
Real-time precision detection algorithm for jellyfish stings in neural computing, featuring adaptive deep learning enhanced by an advanced YOLOv4 framework
IntroductionSea jellyfish stings pose a threat to human health, and traditional detection methods face challenges in terms...
Editorial: Recent advances in image fusion and quality improvement for cyber-physical systems, volume II
Multi-source visual information fusion and quality improvement can help the robotic system to perceive the real world. I...
On designing a configurable UAV autopilot for unmanned quadrotors
On designing a configurable UAV autopilot for unmanned quadrotors
Unmanned Aerial Vehicles (UAVs) and quadrotors are being used in an increasing number of applications. The detection and m...
Optimization of robotic path planning and navigation point configuration based on convolutional neural networks
Optimization of robotic path planning and navigation point configuration based on convolutional neural networks
This study introduces a novel approach for enhancing robotic path planning and navigation by optimizing point configuratio...
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