Discovering and Assessing Fine-Grained Metrics in Robot Networks Protocols (brief announcement)
Discovering and Assessing Fine-Grained Metrics in Robot Networks Protocols (brief announcement)
复制标题
发现和评估机器人网络协议中的细粒度指标（简短公告）
DOI：
10.1007/978-3-642-33536-5_28
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
S.Tixeuil
中科院分区：
文献类型：
--
作者：
F.Bonnet;x.Defago;F.Petit;M.Potop-Butucaru;S.Tixeuil
在离散匿名环境中，机器人算法包含一系列规则，其中每个规则将系统的配置作为输入，并输出当系统处于此配置时需要移动的机器人集合。基于这些规则和调度器对机器人的激活，系统全局进化，并且当算法正确时，它解决目标问题。
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.