医療現場の人間とロボットの協働に向けた人間中心の共有自律AIパラダイム
Toward human-centered shared autonomy AI paradigms for human-robot teaming in healthcare
医療ロボットが患者と協働する際に、人間中心の設計で倫理的問題を避けつつ、動的な目標変更に対応できる適応型共有自律AIの枠組みを提案した論文。
著者: Reza Abiri, Ali Rabiee, Sima Ghafoori, Anna Cetera
分類: cs.RO, cs.SY, eess.SY
原文アブストラクト
With recent advancements in AI and computation tools, intelligent paradigms emerged to empower different fields such as healthcare robots with new capabilities. Advanced AI robotic algorithms (e.g., reinforcement learning) can be trained and developed to autonomously make individual decisions to achieve a desired and usually fixed goal. However, such independent decisions and goal achievements might not be ideal for a healthcare robot that usually interacts with a dynamic end-user or a patient. In such a complex human-robot interaction (teaming) framework, the dynamic user continuously wants to be involved in decision-making as well as introducing new goals while interacting with their present environment in real-time. To address this challenge, an adaptive shared autonomy AI paradigm is required to be developed for the two interactive agents (Human & AI agents) with a foundation based on human-centered factors to avoid any possible ethical issues and guarantee no harm to humanity.
