Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …

Recent technological advances in hardware design of the robotic platforms enabled the
implementation of various control modalities for improved interactions with humans and …

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 …

Industrial robots form an integral part of today's manufacturing industry, due to their high
versatility, precision, and fatigue proof nature. Yet, many small and medium sized …

Biological systems, including human beings, have the innate ability to perform complex
tasks in a versatile and agile manner. Researchers in sensorimotor control have aimed to …

In this paper, we propose a novel method for human–robot collaboration, where the robot
physical behaviour is adapted online to the human motor fatigue. The robot starts as a …

This study provides a structured literature review of the recent COllaborative roBOT
(COBOT) applications in industrial and service contexts. Several papers and research …

We apply artificial neural network (ANN) for recognition and classification of
electroencephalographic (EEG) patterns associated with motor imagery in untrained …

Traditional electromyogram (EMG) pattern recognition does not take into account the effect
of confounding factors, preventing its effective clinical application. In this paper, we …

Human body enhancement is an interesting branch of robotics. It focuses on wearable
robots in order to improve the performance of human body, reduce energy consumption and …