Promoting Motor Variability During Robotic Assistance Enhances Motor Learning of Dynamic Tasks.

ABSTRACT: 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 training, it may also decrease participants' effort and interfere with the perception of the environment dynamics, hindering somatosensory information crucial for motor learning. Importantly, haptic guidance limits motor variability, a factor considered essential for learning. We propose that Model Predictive Controllers (MPC) might be good alternatives to haptic guidance since they minimize the assisting forces and promote motor variability during training. We conducted a study with 40 healthy participants to investigate the effectiveness of MPCs on learning a dynamic task. The task consisted of swinging a v

SUBMITTER: Ozen O 

PROVIDER: S-EPMC7884323 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature