Do we need complex rehabilitation robots for training complex tasks?

Joaquin Penalver-Andres, Jaime Duarte, Heike Vallery, Verena Klamroth-Marganska, Robert Riener, Laura Marchal-Crespo, Georg Rauter

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)
53 Downloads (Pure)

Abstract

One key question in motor learning is how the complex tasks in daily life - those that require coordinated movements of multiple joints - should be trained. Often, complex tasks are directly taught as a whole, even though training of simple movement components before training the entire movement has been shown to be more effective for particularly complex tasks ('part-whole transfer paradigm'). The important implication of the part-whole transfer paradigm, e.g. on the field of rehabilitation robotics, is that training of most complex tasks could be simplified and, subsequently, devices used to train can become simpler and more affordable. In this way, robot-assisted rehabilitation could become more accessible. However, often the last step in the training process is forgotten: the recomposition of several simple movement components to a complete complex movement. Therefore, at least for the last training step, a complex rehabilitation device may be required.In a pilot study, we wanted to investigate if a complex robotic device (e.g. an exoskeleton robot with many degrees of freedom), such as the ARMin rehabilitation robot, is really beneficial for training the coordination between several simpler movement components or if training using visual feedback would lead to equal benefits. In a study, involving 16 healthy participants, who were instructed in a complex rugby motion, we could show first trends on the following two aspects: i) the part-whole transfer paradigm seems to hold true and therefore, simple robots might be used for training movement primitives. ii) Visual feedback does not seem to have the same potential, at least in healthy humans, to replace visuo-haptic guidance for movement recomposition of complex tasks. Therefore, complex rehabilitation robots seem to be beneficial for training complex real-life tasks.

Original languageEnglish
Title of host publication2019 IEEE 16th International Conference on Rehabilitation Robotics, ICORR 2019
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
Pages1085-1090
ISBN (Electronic)978-1-7281-2755-2
DOIs
Publication statusPublished - 2019
EventICORR 2019: 16th International Conference on Rehabilitation Robotics - Toronto, Canada
Duration: 24 Jun 201928 Jun 2019

Conference

ConferenceICORR 2019: 16th International Conference on Rehabilitation Robotics
CountryCanada
CityToronto
Period24/06/1928/06/19

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