Department of Mechanical and Automation Engineering, Harbin Institute of Technology Shenzhen, Shenzhen 518055, China.
Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN 46656, USA.
Sensors (Basel). 2018 Aug 3;18(8):2543. doi: 10.3390/s18082543.
Efficient distributed processing is vital for collaborative searching tasks of robotic swarm systems. Typically, those systems are decentralized, and the members have only limited communication and processing capacities. What is illustrated in this paper is a distributed processing paradigm for robotic swarms moving in a line or v-shape formation. The introduced concept is capable of exploits the line and v-shape formations for 2-D filtering and processing algorithms based on a modified multi-dimensional Roesser model. The communication is only between nearest adjacent members with a simple state variable. As an example, we applied a salient region detection algorithm to the proposed framework. The simulation results indicate the designed paradigm can detect salient regions by using a moving line or v-shape formation in a scanning way. The requirement of communication and processing capability in this framework is minimal, making it a good candidate for collaborative exploration of formatted robotic swarms.
高效分布式处理对于机器人群系统的协作搜索任务至关重要。通常,这些系统是去中心化的,成员之间的通信和处理能力有限。本文介绍了一种用于在直线或 V 形编队中移动的机器人群的分布式处理范例。所提出的概念能够利用直线和 V 形编队,基于改进的多维 Roesser 模型,实现二维滤波和处理算法。通信仅在最接近的相邻成员之间进行,使用简单的状态变量。例如,我们将显著区域检测算法应用于所提出的框架。仿真结果表明,所设计的范例可以通过以扫描方式使用移动的直线或 V 形编队来检测显著区域。该框架对通信和处理能力的要求最低,使其成为格式化机器人群协作探索的良好候选方案。