Teleoperation of humanoid robots enables the integration of the cognitive skills and domain
expertise of humans with the physical capabilities of humanoid robots. The operational …

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 …

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 …

As physiological signals that are closely related to human motion, surface electromyography
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …

This paper presents an experimental study on human-robot comanipulation in the presence
of kinematic redundancy. The objective of the work is to enhance the performance during …

This paper presents a literature review on pattern recognition of electromyography (EMG)
signals and its applications. The EMG technology is introduced and the most relevant …

This paper presents adaptive impedance control of an upper limb robotic exoskeleton using
biological signals. First, we develop a reference musculoskeletal model of the human upper …

Robots that physically interact with their surroundings, in order to accomplish some tasks or
assist humans in their activities, require to exploit contact forces in a safe and proficient …

It has been established that the transfer of human adaptive impedance is of great
significance for physical human-robot interaction (pHRI). By processing the …

Impedance control is a commonly used control architecture for robotic manipulation. For
increased flexibility, the impedance can be programmed to vary during the task. This has …