arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1108.2126cs.ROcs.SYeess.SYmath.OC

多模态本地感知与通信用于集体水下系统

Multi-Modal Local Sensing and Communication for Collective Underwater Systems

Institute of Parallel and Distributed Systems(并行与分布式系统研究所);University of Stuttgart(斯图加特大学)

Serge Kernbach, Tobias Dipper, Donny Sutantyo

AI总结:

本文研究集体水下系统中用于网络和集群模式的本地感知与通信,通过模态和子模态通信的特定组合实现多AUV间的专用协作。

摘要:

本文致力于研究用于网络和集群模式的集体水下系统中的本地感知与通信。结果表明,同时用于机器人-机器人和机器人-物体检测的模态和子模态通信的特定组合,可以在多个AUV之间创建专用协作。这些技术、平台和实验被简要描述,并使我们能够得出关于集体水下系统中不同信号方法的有用组合的结论。

英文摘要:

This paper is devoted to local sensing and communication for collective underwater systems used in networked and swarm modes. It is demonstrated that a specific combination of modal and sub-modal communication, used simultaneously for robot-robot and robot-object detection, can create a dedicated cooperation between multiple AUVs. These technologies, platforms and experiments are shortly described, and allow us to make a conclusion about useful combinations of different signaling approaches for collective underwater systems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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