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
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
