"Aurora sees this as an opportunity to expand its multi-vehicle coordination capabilities into the realm of planetary exploration. We view this project as a natural integration of our expertise in space systems and in tools for planning and coordinating autonomous teams," said Dr. James Paduano, Autonomy Controls and Estimation Group Lead.

Mobile robots operating in teams will be instrumental in extending human reach in planetary exploration, whether they are assisting humans during missions on the moon, or performing completely autonomous science on Mars.

However, communication delays to remote robot teams and/or the limited supervision that an astronaut can provide make it necessary for the robot team to perform coordinated tasks robustly and autonomously.

To address this problem, Aurora and MIT will combine multi-agent planning algorithms, human interfaces, and associated expertise into a multi-robot, human supervised system that can operate with long time delays between human interactive inputs, while still providing operator situation awareness sufficient for effective planning, event monitoring and notification, and interaction with specific tasks.

This project extends Aurora's multi-vehicle planning algorithms to a new regime (planetary rovers) in the context of its ongoing collaboration with NASA's space science mission.

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