Research Topic

EMG/EEG Signals-based Control of Assistive and Rehabilitation Robots

About this Research Topic

Among the growing global population, around one billion experience some form of physical disability impacting everyday life. Wearable robotic exoskeletons have rapidly developed in recent years and have provided grounds for assisting individuals with limb disability to improve everyday life in disabled ...

Among the growing global population, around one billion experience some form of physical disability impacting everyday life. Wearable robotic exoskeletons have rapidly developed in recent years and have provided grounds for assisting individuals with limb disability to improve everyday life in disabled patients.

Assistive and Rehabilitation robot technology plays a vital role and has developed expanding the robotics field and its applications for a user-friendly purpose. EMG signals have extensively been used to control the Assistive and Rehabilitation robots such as exoskeleton robots so that the wearer is free of actuating any additional device to control the robot. Additionally, recent literature shows that many studies have been carried out to investigate the possibility of using EEG signals to control robotic devices. Since EEG signals can represent the motion intentions of the robot wearer, they are potential inputs for the controllers of exoskeleton robots.

Exoskeleton robotic researches integrate advanced mechatronics and intelligent sensing in order to restore weak sensorimotor functions. Exoskeleton robots have been applied for the tremor assessments and suppression and neuro rehabilitations in recent studies.

Furthermore, in the last few decades, many significant contributions have been made in this field. Exoskeleton robots still have a margin for development and advance, to enable a synergetic interaction with the user and to generate human-like motions.

This Research Topic aims at creating a multidisciplinary forum of discussion on the recent advances in controlling of exoskeleton robots presenting the diversity of the current approaches.

We welcome authors to contribute with high-quality articles containing original research findings, as well as systematic reviews presenting relevant analysis and discussion on the current state of the art.

Potential topics include but are not limited to the following:

• Developments of controllers for upper limb/lower limb robotic exoskeletons
• Biomechanical investigations of robotic exoskeletons and other assistive robots
• Novel sensors for exoskeleton robots to generate human-like motions
• EMG/EEG signals-based exoskeleton robot control
• Mathematical and physical algorithms for control of exoskeleton robots
• Assessment and benchmarking of exoskeleton robots' functionality
• Clinical studies of Assistive robot control


Keywords: EMG signals, EEG signals, Robot Control, Robotic Exoskeletons, Sensors, Assistive Robots


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Recent Articles

Loading..

About Frontiers Research Topics

With their unique mixes of varied contributions from Original Research to Review Articles, Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author.

Topic Editors

Loading..

Submission Deadlines

08 October 2020 Abstract
09 April 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

Loading..

Topic Editors

Loading..

Submission Deadlines

08 October 2020 Abstract
09 April 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

Loading..
Loading..

total views article views article downloads topic views

}
 
Top countries
Top referring sites
Loading..