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Model transfer from 2D to 3D study for boxing pose estimation
Model transfer from 2D to 3D study for boxing pose estimation
IntroductionBoxing as a sport is growing on Chinese campuses, resulting in a coaching shortage. The human pose estimation ...
Iterative transfer learning for automatic collective motion tuning on multiple robot platforms
Iterative transfer learning for automatic collective motion tuning on multiple robot platforms
This paper proposes an iterative transfer learning approach to achieve swarming collective motion in groups of mobile robo...
Upper limb home-based robotic rehabilitation in chronic stroke patients: A pilot study
Upper limb home-based robotic rehabilitation in chronic stroke patients: A pilot study
IntroductionRobotic therapy allow to propose sessions of controlled and identical exercises, customizing settings, and cha...
Research on control strategy of vehicle stability based on dynamic stable region regression analysis
Research on control strategy of vehicle stability based on dynamic stable region regression analysis
The intervention time of stability control system is determined by stability judgment, which is the basis of vehicle stabi...
Real-time vehicle target detection in inclement weather conditions based on YOLOv4
Real-time vehicle target detection in inclement weather conditions based on YOLOv4
As a crucial component of the autonomous driving task, the vehicle target detection algorithm directly impacts driving saf...
Hierarchical strategy for sEMG classification of the hand/wrist gestures and forces of transradial amputees
Hierarchical strategy for sEMG classification of the hand/wrist gestures and forces of transradial amputees
IntroductionThe myoelectric control strategy, based on surface electromyographic signals, has long been used for controlli...
Learning robotic manipulation skills with multiple semantic goals by conservative curiosity-motivated exploration
Learning robotic manipulation skills with multiple semantic goals by conservative curiosity-motivated exploration
Reinforcement learning (RL) empowers the agent to learn robotic manipulation skills autonomously. Compared with traditiona...
Brain inspired path planning algorithms for drones
Brain inspired path planning algorithms for drones
IntroductionWith the development of artificial intelligence and brain science, brain-inspired navigation and path planning...
Model pruning based on filter similarity for edge device deployment
Model pruning based on filter similarity for edge device deployment
Filter pruning is widely used for inference acceleration and compatibility with off-the-shelf hardware devices. Some filte...
Do different robot appearances change emotion recognition in children with ASD?
Do different robot appearances change emotion recognition in children with ASD?
IntroductionSocially Assistive Robotics has emerged as a potential tool for rehabilitating cognitive and developmental dis...
LST-EMG-Net: Long short-term transformer feature fusion network for sEMG gesture recognition
LST-EMG-Net: Long short-term transformer feature fusion network for sEMG gesture recognition
With the development of signal analysis technology and artificial intelligence, surface electromyography (sEMG) signal ges...
Corrigendum: Small target detection with remote sensing images based on an improved YOLOv5 algorithm
Corrigendum: Small target detection with remote sensing images based on an improved YOLOv5 algorithm
In the published article, there was an error in Figure 12, Figure 13 and Table5 as published. The descriptions at the bott...
Continuous versus discrete robotic feedback for brain-computer interfaces aimed for neurorehabilitation
Continuous versus discrete robotic feedback for brain-computer interfaces aimed for neurorehabilitation
IntroductionBrain-Computer Interfaces (BCI) can allow control of external devices using motor imagery (MI) decoded from el...
Small target detection with remote sensing images based on an improved YOLOv5 algorithm
Small target detection with remote sensing images based on an improved YOLOv5 algorithm
IntroductionSmall target detection with remote sensing images is a challenging topic due to the small size of the targets,...
Viewpoint planning with transition management for active object recognition
Viewpoint planning with transition management for active object recognition
Active object recognition (AOR) provides a paradigm where an agent can capture additional evidence by purposefully changin...
Deep causal learning for robotic intelligence
Deep causal learning for robotic intelligence
This invited Review discusses causal learning in the context of robotic intelligence. The Review introduces the psychologi...
Efficient three-dimensional point cloud object detection based on improved Complex-YOLO
Efficient three-dimensional point cloud object detection based on improved Complex-YOLO
Lidar-based 3D object detection and classification is a critical task for autonomous driving. However, inferencing from ex...
Reinforcement learning based variable damping control of wearable robotic limbs for maintaining astronaut pose during extravehicular activity
Reinforcement learning based variable damping control of wearable robotic limbs for maintaining astronaut pose during extravehicular activity
As astronauts perform on-orbit servicing of extravehicular activity (EVA) without the help of the space station’s robotic ...
PREDICTOR: A Physical emulatoR enabling safEty anD ergonomICs evaluation and Training of physical human-rObot collaboRation
PREDICTOR: A Physical emulatoR enabling safEty anD ergonomICs evaluation and Training of physical human-rObot collaboRation
Safety and ergonomics of Physical Human-Robot Collaboration (PHRC) are crucial to make human-robot collaborative systems t...
A multi-scale pooling convolutional neural network for accurate steel surface defects classification
A multi-scale pooling convolutional neural network for accurate steel surface defects classification
Surface defect detection is an important technique to realize product quality inspection. In this study, we develop an inn...
Design of a SMA-based soft composite structure for wearable rehabilitation gloves
Design of a SMA-based soft composite structure for wearable rehabilitation gloves
The combination of smart soft composite structure based shape memory alloy (SMA) and exoskeleton technology has the advant...
SmartFPS: Neural network based wireless-inertial fusion positioning system
SmartFPS: Neural network based wireless-inertial fusion positioning system
Current wireless-inertial fusion positioning systems widely adopt empirical propagation models of wireless signals and fil...
Neural network aided flexible joint optimization with design of experiment method for nuclear power plant inspection robot
Neural network aided flexible joint optimization with design of experiment method for nuclear power plant inspection robot
IntroductionThe flexible joint is a crucial component for the inspection robot to flexible interaction with nuclear power ...
Rethinking 1D convolution for lightweight semantic segmentation
Rethinking 1D convolution for lightweight semantic segmentation
Lightweight semantic segmentation promotes the application of semantic segmentation in tiny devices. The existing lightwei...
DualFlow: Generating imperceptible adversarial examples by flow field and normalize flow-based model
DualFlow: Generating imperceptible adversarial examples by flow field and normalize flow-based model
Recent adversarial attack research reveals the vulnerability of learning-based deep learning models (DNN) against well-des...
Research on steel rail surface defects detection based on improved YOLOv4 network
Research on steel rail surface defects detection based on improved YOLOv4 network
IntroductionThe surface images of steel rails are extremely difficult to detect and recognize due to the presence of inter...
Adaptive neural network projection analytical fault-tolerant control of underwater salvage robot with event trigger
Adaptive neural network projection analytical fault-tolerant control of underwater salvage robot with event trigger
IntroductionTo solve the problem of control failure caused by system failure of deep-water salvage equipment under severe ...
When neuro-robots go wrong: A review
When neuro-robots go wrong: A review
Neuro-robots are a class of autonomous machines that, in their architecture, mimic aspects of the human brain and cognitio...
Bio-inspired neural networks for decision-making mechanisms and neuromodulation for motor control in a differential robot
Bio-inspired neural networks for decision-making mechanisms and neuromodulation for motor control in a differential robot
The aim of this work is to propose bio-inspired neural networks for decision-making mechanisms and modulation of motor con...
Adaptive load feedback robustly signals force dynamics in robotic model of Carausius morosus stepping
Adaptive load feedback robustly signals force dynamics in robotic model of Carausius morosus stepping
Animals utilize a number of neuronal systems to produce locomotion. One type of sensory organ that contributes in insects ...
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