Get the Ball Rolling: Alerting Autonomous Robots When to Help to Close
  the Healthcare Loop
Jiaxin Shen Yanyao Liu Ziming Wang Ziyuan Jiao Yufeng Chen Wenjuan Han
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.