How the CYBATHLON Competition Has Advanced Assistive Technologies

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Abstract

Approximately 1.1. billion people worldwide live with some form of disability, and assistive technology has the potential to increase their overall quality of life. However, the end users’ perspective and needs are often not sufficiently considered during the development of this technology, leading to frustration and nonuse of existing devices. Since its first competition in 2016, CYBATHLON has aimed to drive innovation in the field of assistive technology by motivating teams to involve end users more actively in the development process and to tailor novel devices to their actual daily-life needs. Competition tasks therefore represent unsolved daily-life challenges for people with disabilities and serve the purpose of benchmarking the latest developments from research laboratories and companies from around the world. This review describes each of the competition disciplines, their contributions to assistive technology, and remaining challenges in the user-centered development of this technology.

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Author and article information

Journal

Title: Annual Review of Control, Robotics, and Autonomous Systems

Abbreviated Title: Annu. Rev. Control Robot. Auton. Syst.

Publisher: Annual Reviews

ISSN (Print): 2573-5144

ISSN (Electronic): 2573-5144

Publication date Created: May 03 2023

Publication date (Print): May 03 2023

Volume: 6

Issue: 1

Pages: 447-476

Affiliations

[1 ]CYBATHLON, ETH Zurich, Zurich, Switzerland;

[2 ]Laboratory of Robotics and Automation, University of Brasilia, Brasilia, Brazil;

[3 ]Sensory-Motor Systems Lab, Institute of Robotics and Intelligent Systems, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland; email: , ,

[4 ]Department of Informatics, Technical University of Munich, Garching, Germany;,

[5 ]Laboratory for Movement Biomechanics, Institute for Biomechanics, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland;

[6 ]Faculty of Systems Engineering, Wakayama University, Wakayama, Japan;

[7 ]Department of Information Engineering and Padua Neuroscience Center, University of Padua, Padua, Italy;

[8 ]Neuroengineering Lab, Institute of Robotics and Intelligent Systems, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland;

[9 ]Balgrist University Hospital, Zurich, Switzerland

Article

DOI: 10.1146/annurev-control-071822-095355

SO-VID: 0f2d9d14-3b01-41a6-825d-85d8d3681461

License:

http://creativecommons.org/licenses/by/4.0/

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