A recent demonstration in the field showed how the autonomous robotic team can rapidly learn the characteristics of environments it has never seen before. He said he hopes the robot team prototype can be a model for changing the methods that are used to survey disaster sites, waterways and extreme environments. The rapid acquisition of holistic data by coordinated robotic team members facilitates transparent, data-driven decisions. “So, if you were to deploy a robot team multiple times over several locations in a period of about a month, you could get hundreds of thousands — even millions — of records. It works well for Tesla, and we envision the same thing for our robotic team,” he said.