A Brain–Computer Interface (BCI) provides a novel non-muscular communication method
via brain signals. A BCI-speller can be considered as one of the first published BCI …

Humans interact with computers through various devices. Such interactions may not require
any physical movement, thus aiding people with severe motor disabilities in communicating …

This paper presents human-robot cooperation with adaptive behavior of the robot, which
helps the human operator to perform the cooperative task and optimizes its performance. A …

Multiscale inherent fuzzy entropy is an objective measurement of electroencephalography
(EEG) complexity, reflecting the habituation of brain systems. Entropy dynamics are …

People with severe physical disabilities are not able of using standard robotic wheelchairs,
which generally demand some motor skills, and therefore total usage of associate muscles …

This paper presents a teleoperation control for an exoskeleton robotic system based on the
brain-machine interface and vision feedback. Vision compressive sensing, brain-machine …

Human hand motion (HHM) analysis is an essential research topic in recent applications,
especially for dexterous robot hand manipulation learning from human hand skills. It …

To achieve the better navigation performance of a mobile robot in the unknown
environments, a novel human-robot hybrid system incorporating a motor-imagery (MI)-based …

When a robot is working properly, it is possible to collide with people or objects entering its
working space. This research is different than usual control algorithm. It proposes a …

This paper addresses the adaptive control for task-space teleoperation systems with
constrained predefined synchronization error, where a novel switched control framework is …