[HTML][HTML] EEG based arm movement intention recognition towards enhanced safety in symbiotic Human-Robot Collaboration
Consumer markets demonstrate an observable trend towards mass customization.
Assembly processes are required to adapt in order to meet the requirements of increased …
Assembly processes are required to adapt in order to meet the requirements of increased …
A hybrid motion classification approach for EMG-based human–robot interfaces using bayesian and neural networks
In a human-robot interface, the prediction of motion, which is based on context information of
a task, has the potential to improve the robustness and reliability of motion classification to …
a task, has the potential to improve the robustness and reliability of motion classification to …
A mixed-perception approach for safe human–robot collaboration in industrial automation
Digital-enabled manufacturing systems require a high level of automation for fast and low-
cost production but should also present flexibility and adaptiveness to varying and dynamic …
cost production but should also present flexibility and adaptiveness to varying and dynamic …
A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration
Electromyography (EMG) signal is one of the widely used biological signals for human motor
intention prediction, which is an essential element in human-robot collaboration systems …
intention prediction, which is an essential element in human-robot collaboration systems …
An attention-based deep learning approach for inertial motion recognition and estimation in human-robot collaboration
In line with a human-centric smart manufacturing vision, human-robot collaboration is
striving to combine robots' high efficiency and quality with humans' rapid adaptability and …
striving to combine robots' high efficiency and quality with humans' rapid adaptability and …
Continuous emotion recognition for long-term behavior modeling through recurrent neural networks
One's internal state is mainly communicated through nonverbal cues, such as facial
expressions, gestures and tone of voice, which in turn shape the corresponding emotional …
expressions, gestures and tone of voice, which in turn shape the corresponding emotional …
Deep learning-based human motion recognition for predictive context-aware human-robot collaboration
Timely context awareness is key to improving operation efficiency and safety in human-robot
collaboration (HRC) for intelligent manufacturing. Visual observation of human workers' …
collaboration (HRC) for intelligent manufacturing. Visual observation of human workers' …
Human activity recognition through recurrent neural networks for human–robot interaction in agriculture
The present study deals with human awareness, which is a very important aspect of human–
robot interaction. This feature is particularly essential in agricultural environments, owing to …
robot interaction. This feature is particularly essential in agricultural environments, owing to …
How can physiological computing benefit human-robot interaction?
As systems grow more automatized, the human operator is all too often overlooked.
Although human-robot interaction (HRI) can be quite demanding in terms of cognitive …
Although human-robot interaction (HRI) can be quite demanding in terms of cognitive …
Phase estimation for fast action recognition and trajectory generation in human–robot collaboration
This paper proposes a method to achieve fast and fluid human–robot interaction by
estimating the progress of the movement of the human. The method allows the progress …
estimating the progress of the movement of the human. The method allows the progress …