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RAMB: Validation of a Software Tool for Determining Robotic Assistance for People with Disabilities in First Labor Market Manufacturing Applications

Carlo Weidemann, Elodie Hüsing, Yannick Freischlad, Nils Mandischer, Burkhard Corves, Mathias Hüsing

Year
2022
Citations
13

Abstract

Human-robot collaboration offers the advantage of combining human characteristics and robotic capabilities, balancing individual weaknesses. In the inclusive project Next Generation, we are exploring the possibility of using collaborative robots as assistive devices for people with severe and multiple disabilities. An important step in implementing an inclusive workstation with a collaborative robot is determining the level of assistance required. Therefore, we developed a novel methodology and a capability-based software tool to determine the individual level of challenge. In this paper, we present the developed tool and its validation. We validate the methodology and tool using an industrial sample application from first labor market incorporating participants with varying mental and physical disabilities.

Keywords

WorkstationComputer scienceSoftwareRobotSample (material)Human–robot interactionHuman–computer interactionSoftware engineeringArtificial intelligence

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