Towards a Learning Architecture to Support Social Scaffolding for an Artificially Intelligent Disability Assistant

摘要

Humanoid workers that can improve the joy and achievement of workers with intellectual and developmental disabilities (IDD) hold promise in light manufacturing settings. In this paper, we provide details of an architecture to support social scaffolding for workers with IDD and efforts to adapt it to learn. This architecture is developed for human-robot interaction using the Pepper robot and will support future improvements using machine learning. Additional recommendations based on past experimentation are given for future work.