This invention describes a computer system designed to manage and coordinate multiple drones. It works by continuously monitoring the drones' status to detect any issues, such as a drone deviating from its path. When a problem is identified, the system can propose solutions or take action, often involving a human operator who can either veto commands or choose from a list of suggested actions, depending on the system's assigned level of autonomy. The claims specifically detail these user interaction modes, where the system either sends commands unless a user vetoes them, or presents choices for the user to select.
Why it matters: Since 2019, significant advancements in AI and machine learning have made real-time predictive analytics and automated problem resolution, as described for the 'candidate problem resolver,' substantially more robust and feasible for complex drone coordination. This progress enables more sophisticated and reliable autonomous decision-making with integrated human oversight.
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