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To facilitate the advancement of research in healthcare robots without humanintervention or commands, we introduce the Autonomous Helping Challenge, alongwith a crowd-sourcing large-scale dataset. The goal is to create healthcarerobots that possess the ability to determine when assistance is necessary,generate useful sub-tasks to aid in planning, carry out these plans through aphysical robot, and receive feedback from the environment in order to generatenew tasks and continue the process. Besides the general challenge in open-endedscenarios, Autonomous Helping focuses on three specific challenges: autonomoustask generation, the gap between the current scene and static commonsense, andthe gap between language instruction and the real world. Additionally, wepropose Helpy, a potential approach to close the healthcare loop in thelearning-free setting.

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