Scaled Autonomy: Enabling Human Operators to Control Robot Fleets

TL;DR

This paper presents a method to automate the selection of robots for human teleoperation in fleets, modeling user preferences to enable supervision of larger robot groups without increasing cognitive load.

Contribution

We introduce a preference-based model that predicts which robot a user would choose to control, improving multi-robot supervision efficiency.

Findings

The method accurately predicts user choices in simulated tasks.

User study shows increased supervision capacity with our approach.

Hardware demo confirms real-world applicability.

Abstract

Autonomous robots often encounter challenging situations where their control policies fail and an expert human operator must briefly intervene, e.g., through teleoperation. In settings where multiple robots act in separate environments, a single human operator can manage a fleet of robots by identifying and teleoperating one robot at any given time. The key challenge is that users have limited attention: as the number of robots increases, users lose the ability to decide which robot requires teleoperation the most. Our goal is to automate this decision, thereby enabling users to supervise more robots than their attention would normally allow for. Our insight is that we can model the user's choice of which robot to control as an approximately optimal decision that maximizes the user's utility function. We learn a model of the user's preferences from observations of the user's choices in easy settings with a few robots, and use it in challenging settings with more robots to automatically identify which robot the user would most likely choose to control, if they were able to evaluate the states of all robots at all times. We run simulation experiments and a user study with twelve participants that show our method can be used to assist users in performing a simulated navigation task. We also run a hardware demonstration that illustrates how our method can be applied to a real-world mobile robot navigation task.