The Role of Haptic Interactions with Robots for Promoting Motor Learning
Niek Beckers (TU Delft - Human-Robot Interaction)
L. M. Marchal-Crespo (TU Delft - Human-Robot Interaction)
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Abstract
Robot-assisted haptic training has the potential to facilitate motor
learning and neurorehabilitation for a diverse number of motor tasks,
ranging from manipulating objects with unknown dynamics to relearning
walking using robotic exoskeletons. In this chapter, we provide an
overview of current haptic methods evaluated in motor (re)learning
studies with the goal to discuss implications for the design of
rehabilitation technology. We highlight the challenge point framework as
a unifying view on how to guide the design of haptic training
paradigms, based on the initial skill level of the learner and the
characteristics of the task to be learned. Future work on robot-aided
haptic training strategies should focus on adaptive training algorithms,
providing more naturalistic congruent multisensory feedback that
resembles out-of-the-lab training, and conduct long-term studies to
assess the efficacy of haptic training on learning not only the trained
task but importantly, on skill transfer to real tasks.