Synergistic Scheduling of Learning and Allocation of Tasks in Human-Robot Teams

@article{Vats2022SynergisticSO,
  title={Synergistic Scheduling of Learning and Allocation of Tasks in Human-Robot Teams},
  author={Shivam Vats and Oliver Kroemer and Maxim Likhachev},
  journal={2022 International Conference on Robotics and Automation (ICRA)},
  year={2022},
  pages={2789-2795}
}
We consider the problem of completing a set of $n$ tasks with a human-robot team using minimum effort. In many domains, teaching a robot to be fully autonomous can be counterproductive if there are finitely many tasks to be done. Rather, the optimal strategy is to weigh the cost of teaching a robot and its benefit- how many new tasks it allows the robot to solve autonomously. We formulate this as a planning problem where the goal is to decide what tasks the robot should do autonomously (act… 

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