Synergistic Scheduling of Learning and Allocation of Tasks in Human-Robot Teams
Shivam Vats,Oliver Kroemer,Maxim Likhachev,Shivam Vats,Oliver Kroemer,Maxim Likhachev
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 ...
