What does "Gaussian Belief Propagation" mean?

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Gaussian Belief Propagation is a method used to share and process information among a group of robots or agents. It helps these robots understand their surroundings better by allowing them to send messages to each other. Each robot collects data about what it sees and shares that information with others in the group.

This approach uses simple mathematical principles to create a shared picture of the environment. By combining local observations, robots can build a more complete view without needing to rely entirely on a central controller. This makes it easier for them to coordinate and work together.

The method is efficient, requiring less computing power and bandwidth, which means it can function well even if the robots are not highly advanced. This makes it suitable for various applications, such as in swarm robotics, where many robots work together to accomplish tasks more effectively.