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Get the Ball Rolling: Alerting Autonomous Robots When to Help to Close the Healthcare Loop

2023/11/05 by Jiaxin Shen, Shen, Jiaxin, Yanyao Liu +9
Computer Science · #AI in Service Interactions #Topic Modeling #Machine Learning in Healthcare

paper · pdf · doi:10.48550/arxiv.2311.02602

Abstract

To facilitate the advancement of research in healthcare robots without human intervention or commands, we introduce the Autonomous Helping Challenge, along with a crowd-sourcing large-scale dataset. The goal is to create healthcare robots that possess the ability to determine when assistance is necessary, generate useful sub-tasks to aid in planning, carry out these plans through a physical robot, and receive feedback from the environment in order to generate new tasks and continue the process. Besides the general challenge in open-ended scenarios, Autonomous Helping focuses on three specific challenges: autonomous task generation, the gap between the current scene and static commonsense, and the gap between language instruction and the real world. Additionally, we propose Helpy, a potential approach to close the healthcare loop in the learning-free setting.

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