Brain computer interfaces (BCI) for the rehabilitation of motor impairments exploit
sensorimotor rhythms (SMR) in the electroencephalogram (EEG). However, the …

The use of robots has attracted researchers to design numerous haptic training methods to
support motor learning. However, investigations of new methods yielded inconclusive …

Despite progress in using computational approaches to inform medicine and neuroscience
in the last 30 years, there have been few attempts to model the mechanisms underlying …

Background. Robots that physically assist movement are increasingly used in rehabilitation
therapy after stroke, yet some studies suggest robotic assistance discourages effort and …

Movement variability is defined as the normal variations in motor performance across
multiple repetitions of a task. However, the term “movement variability” can mean different …

Up to date, the functional gains obtained after robot-aided gait rehabilitation training are
limited. Error augmenting strategies have a great potential to enhance motor learning of …

Despite recent advances in robot-assisted training, the benefits of haptic guidance on motor
(re) learning are still limited. While haptic guidance may increase task performance during …

Robotic algorithms that augment movement errors have been proposed as promising
training strategies to enhance motor learning and neurorehabilitation. However, most …

The last several years have seen a number of approaches to robot assistance of motor
learning. Experimental studies have produced a range of findings from beneficial effects …

Researchers in the domain of haptic training are now entering the long-standing debate
regarding whether or not it is best to learn a skill by experiencing errors. Haptic training …