Mobility, Search and Communication

由于通信、搜索和移动性之间的协同作用，今天移动代理计算中一些最引人注目的发展正在发生。移动机器人配备了运动机构和感知硬件和软件，可以移动和感知世界。移动机器人需要通过控制其运动和以最有效和高效的方式应用其感知能力在一个定义良好的领域中导航，同时将其发现传达给其他机器人，以促进解决定义良好的网络任务。目前对协作移动代理（机器人、传感器）系统的研究缺乏对移动性在执行基本通信和搜索任务中的影响的理解。更具体地说，我们有兴趣了解以下问题。一群移动代理如何在分布式互联环境中高效导航以完成其计算任务？可以利用哪些代理功能和哪些知识？一个特定的问题有什么特别之处，使得它可以有效地解决，而不是替代方案？

Some of the most striking developments in mobile agent computing today are occurring due to the synergy between communication, search and mobility. Equipped with locomotion mechanisms and outfitted with hardware and software for perception, mobile robots can move and perceive the world. A mobile robot is required to navigate through a well-defined domain by controlling its motion and applying its perception capabilities in the most effective and efficient manner, while at the same time communicating its findings to the rest of the robots so as to facilitate the solution of well-defined network tasks. Current research on cooperative mobile agent (robot, sensor) systems suffers from a lack of understanding of the impact of mobility in performing fundamental communication and search tasks. More specifically, we are interested in understanding the following questions. How can a swarm of mobile agents navigate efficiently through a distributed interconnected environment to complete its computing tasks? Which agent capabilities and what knowledge can be leveraged? What is special about a particular problem that makes it solvable efficiently as opposed to alternatives?