[HTML][HTML] Cognitive neuroscience and robotics: Advancements and future research directions
In recent years, brain-based technologies that capitalise on human abilities to facilitate
human–system/robot interactions have been actively explored, especially in brain robotics …
human–system/robot interactions have been actively explored, especially in brain robotics …
Noninvasive brain–machine interfaces for robotic devices
The last decade has seen a flowering of applications driven by brain–machine interfaces
(BMIs), particularly brain-actuated robotic devices designed to restore the independence of …
(BMIs), particularly brain-actuated robotic devices designed to restore the independence of …
Real-time monitoring and control of industrial cyberphysical systems: With integrated plant-wide monitoring and control framework
This article is focused on the realtime monitoring and control aspects of ICPSs. Advanced
approaches and potential challenges are illustrated in the following sections. Especially, an …
approaches and potential challenges are illustrated in the following sections. Especially, an …
[HTML][HTML] A survey on robots controlled by motor imagery brain-computer interfaces
J Zhang, M Wang - Cognitive Robotics, 2021 - Elsevier
A brain-computer interface (BCI) can provide a communication approach conveying brain
information to the outside. Especially, the BCIs based on motor imagery play the important …
information to the outside. Especially, the BCIs based on motor imagery play the important …
Motor-imagery-based teleoperation of a dual-arm robot performing manipulation tasks
Y Liu, W Su, Z Li, G Shi, X Chu, Y Kang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper proposes a brain–computer interface (BCI)-based teleoperation strategy for a
dual-arm robot carrying a common object by multifingered hands. The BCI is based on motor …
dual-arm robot carrying a common object by multifingered hands. The BCI is based on motor …
Classification of EEG signals on VEP-based BCI systems with broad learning
Brain–computer interface (BCI) systems based on electroencephalography (EEG) signals
have been extensively used in medical practice. To enhance the BCI performance …
have been extensively used in medical practice. To enhance the BCI performance …
A hybrid brain-computer interface for closed-loop position control of a robot arm
Brain-Computer interfacing (BCI) has currently added a new dimension in assistive robotics.
Existing brain-computer interfaces designed for position control applications suffer from two …
Existing brain-computer interfaces designed for position control applications suffer from two …
Immersive Technology for Human‐Centric Cyberphysical Systems in Complex Manufacturing Processes: A Comprehensive Overview of the Global Patent Profile …
Immersive technology for human‐centric cyberphysical systems includes broad concepts
that enable users in the physical world to connect with the cyberworld with a sense of …
that enable users in the physical world to connect with the cyberworld with a sense of …
A dynamic neural network approach for efficient control of manipulators
Redundancy resolution is a critical problem in the control of manipulators. The dual neural
network, as a special type of recurrent neural networks that are inherently parallel …
network, as a special type of recurrent neural networks that are inherently parallel …
Single-trial EEG classification with EEGNet and neural structured learning for improving BCI performance
Research and development of new machine learning techniques to augment the
performance of Brain-computer Interfaces (BCI) have always been an open area of interest …
performance of Brain-computer Interfaces (BCI) have always been an open area of interest …