Brief Announcement: Discovering and Assessing Fine-Grained Metrics in Robot Networks Protocols
Abstract
In discrete anonymous environments, robot algorithms consist in a list of rules, where each rule takes a configuration of the system as input and outputs the set of robots that are required to move when the system is in this configuration. Based on these rules and on the robots' activations by the scheduler, the system globally evolves and, when the algorithm is correct, it solves the targeted problem.