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 …

In this survey, various concepts and methodologies developed over the past two decades for
varying and learning the impedance or admittance of robotic systems that physically interact …

Abstract Industry 4.0 is taking human-robot collaboration at the center of the production
environment. Collaborative robots enhance productivity and flexibility while reducing …

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 …

One promising approach for robots efficiently learning skills is to learn manipulation skills
from human tutors by demonstration and then generalize these learned skills to complete …

摘要表面肌电信号(Surface electromyography, sEMG) 是人体自身的资源,
蕴含着关联人体运动的丰富信息, 用它作为交互媒介以构建人机交互(Human-robot interaction …

Physical human-robot collaboration is increasingly required in many contexts (such as
industrial and rehabilitation applications). The robot needs to interact with the human to …

Nowadays, industrial robots have been widely applied for performing position-controlled
tasks with minimum contact such as spot welding, spray painting, packing, and material …

Various rehabilitation robots have been employed to recover the motor function of stroke
patients. To improve the effect of rehabilitation, robots should promote patient participation …

Control schemes based on electromyography (EMG) have demonstrated their superiority in
human-robot cooperation due to the fact that motion intention can be well estimated by EMG …