In order to generate skilled and efficient actions, the motor system must find solutions to
several problems inherent in sensorimotor control, including nonlinearity, nonstationarity …

The pervasive nature of handedness across human history and cultures is a salient
consequence of brain lateralization. This paper presents evidence that provides a structure …

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 …

This paper presents a novel human-like learning controller to interact with unknown
environments. Strictly derived from the minimization of instability, motion error, and effort, the …

One of the hallmarks of the performance, versatility, and robustness of biological motor
control is the ability to adapt the impedance of the overall biomechanical system to different …

To understand the dynamic patterns of behaviours and interactions between athletes that
characterize successful performance in different sports is an important challenge for all sport …

We propose a new model of motor learning to explain the exceptional dexterity and rapid
adaptation to change, which characterize human motor control. It is based on the brain …

It has been shown that humans are able to selectively control the endpoint impedance of
their arms when moving in an unstable environment. However, directional instability was …

This paper presents fuzzy approximation-based adaptive backstepping control of an
exoskeleton for human upper limbs to provide forearm movement assistance so that a …

We propose a novel control method for lower-limb assist that produces a virtual modification
of the mechanical impedance of the human limbs. This effect is accomplished by making the …