AI for simplifying the use of an assistive robotic arm for people with severe body impairments
A. Baumeister, M. Pascher, Y. Shivashankar, F. Goldau, U. Frese, J. Gerken, E. Gardó, B. Klein, P. Tolle
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AbstractAssistive robotic arms, e.g., the Kinova JACO, aim to assist people with upper-body disabilities in everyday tasks and thus increase their autonomy (Brose et al. 2010; Beaudoin et al.2019). A long-term survey with seven JACO users showed that they were satisfied with the technology and that JACO had a positive psychosocial impact. Still, the users had some difficulties performing daily activities with the arm, e.g., it took them some time to finish a task (Beaudoin et al. 2019). Herlant et al. claim that the main problem for a user is that mode switching is time-consuming and tiring (Herlant et al. 2017). To tackle this issue, deep neural network(s) will be developed to facilitate the use of the robotic arm. A sensor-based situation recognition will be combined with an algorithm-based control to form an adaptive AI-based control system. The project focuses on three main aspects: 1) A neural network providing suggestions for movement options based on training data generated in virtual reality. 2) Exploring data glasses as a possibility for displaying feedback in a user-centered design process. 3) Elicitation of requirements, risks and ethical system evaluation using a participatory approach.Keywords: adaptive AI-based control, degrees of freedom, Human-Robot Collaboration, assistive robotic arm, quality of live
A. Baumeister, M. Pascher, Y. Shivashankar, F. Goldau, U. Frese, J. Gerken, E. Gardó, B. Klein, P. Tolle (2022). AI for simplifying the use of an assistive robotic arm for people with severe body impairments. Gerontechnology, 21(s),5-5
https://doi.org/10.4017/gt.2022.21.s.578.5.sp7