Matching Input and Output Devices and Physical Disabilities for Human-Robot Workstations
Carlo Weidemann, Nils Mandischer, Burkhard Corves

TL;DR
This paper presents an automated method to match input and output devices to individual disabilities, enabling personalized and cost-effective human-robot workstations that adhere to international disability rights standards.
Contribution
It introduces a novel approach for filtering and selecting devices based on disabilities, improving universal design for inclusive workplaces.
Findings
Automated assessment of device compatibility with disabilities.
Tailored device lists for individual needs.
Practical tool demonstrated with a mock-up.
Abstract
As labor shortage is rising at an alarming rate, it is imperative to enable all people to work, particularly people with disabilities and elderly people. Robots are often used as universal tool to assist people with disabilities. However, for such human-robot workstations universal design fails. We mitigate the challenges of selecting an individualized set of input and output devices by matching devices required by the work process and individual disabilities adhering to the Convention on the Rights of Persons with Disabilities passed by the United Nations. The objective is to facilitate economically viable workstations with just the required devices, hence, lowering overall cost of corporate inclusion and during redesign of workplaces. Our work focuses on developing an efficient approach to filter input and output devices based on a person's disabilities, resulting in a tailored list…
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Taxonomy
TopicsMuscle activation and electromyography studies · Robot Manipulation and Learning
