To obtain an anthropomorphic performance in physical human-robot interaction during a
reaching task, a variable impedance control (vIC) algorithm with human-like characteristics …

Compliant, natural and safe physical human-robot interaction is of practical significance for
rehabilitation robots. In our recently developed lower limb rehabilitation robot (LLRR), an …

Active rehabilitation training can improve patients' neural engagement and the rehabilitation
effects. A position based impedance control strategy is proposed for implement of active …

Better motion control methods can increase the stability and flexibility of the robot, and
improve the comfort of the patient in the rehabilitation training. To realize compliance control …

This paper proposes a variable impedance control for human-collaborative robots that can
maintain the stability by adjusting parameters of an impedance model depending on …

Physical interactions between patients and therapists during rehabilitation have served as
motivation for the design of rehabilitation robots, yet there is a lack in fundamental …

In this paper, neural networks based impedance control is developed for a wearable
rehabilitation robot in interactions with humans and the environments. The dynamics of the …

In robot-assisted rehabilitation, the performance of robotic assistance is dependent on the
human user's dynamics, which are subject to uncertainties. In order to enhance the …

The lower limb rehabilitation robots (LLRR) have brought significant support to patients with
movement disorders, and the research of LLRR has also become one hot topic in robotic …

The technology of physical human-robot interaction (pHRI) aims to combine the advantages
of both humans and robots, and it is now playing a significant role in many industrial and …