Autonomy mode suggestions for improving human-robot interaction

Abstract

Robot systems can have autonomy levels ranging from fully autonomous to teleoperated. Some systems have more than one autonomy mode that an operator can select. In studies, we have found that operators rarely change autonomy modes, even when it would improve their performance. This paper describes a method for suggesting autonomy mode changes on a robot designed for an urban search and rescue application.