A Robot-Assisted Framework for Rehabilitation Practices: Implementation and Experimental Results

Sensors (Basel). 2023 Sep 4;23(17):7652. doi: 10.3390/s23177652.

Abstract

One of the most interesting characteristics of collaborative robots is their ability to be used in close cooperation scenarios. In industry, this facilitates the implementation of human-in-loop workflows. However, this feature can also be exploited in different fields, such as healthcare. In this paper, a rehabilitation framework for the upper limbs of neurological patients is presented, consisting of a collaborative robot that helps users perform three-dimensional trajectories. Such a practice is aimed at improving the coordination of patients by guiding their motions in a preferred direction. We present the mechatronic setup, along with a preliminary experimental set of results from 19 volunteers (patients and control subjects) who provided positive feedback on the training experience (52% of the subjects would return and 44% enjoyed performing the exercise). Patients were able to execute the exercise, with a maximum deviation from the trajectory of 16 mm. The muscular effort required was limited, with average maximum forces recorded at around 50 N.

Keywords: collaborative robotics; human–robot interaction; interaction perception; rehabilitation.

MeSH terms

  • Exercise
  • Humans
  • Industry
  • Motion
  • Records
  • Robotics*

Grants and funding

This research received no external funding.