In a remote robot system, a user navigates a robot using a graphical interface and a steering control. The graphical interface provides a video display showing the robot's camera view and various indicators showing the robot's status. The interface also provides autonomy modes, which specify how much control over navigation is split or shared between the robot and the human operator. Autonomy modes range from teleoperation (full human control) to fully autonomous (full robot control). To address the problems frequently experienced by users of remote robot systems (e.g. incorrect use of autonomy modes, inability to interpret sensor information, etc.), we created an intelligent suggestion system. The suggestion system provides safety, autonomy mode, camera, lights, and battery suggestions. We present data from user tests describing the performance of the system; the suggestions in our system teach users how to operate the robot safely, enforce safety in the driving task, teach users how to understand and trust robot autonomy, teach users how to switch autonomy modes effectively, and improve situation awareness by providing status alerts.
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