论文标题

Acolor:无人驾驶表面车辆中的机电剂,机器学习和通信

aColor: Mechatronics, Machine Learning, and Communications in an Unmanned Surface Vehicle

论文作者

Villa, Jose, Taipalmaa, Jussi, Gerasimenko, Mikhail, Pyattaev, Alexander, Ukonaho, Mikko, Zhang, Honglei, Raitoharju, Jenni, Passalis, Nikolaos, Perttula, Antti, Aaltonen, Jussi, Andreev, Sergey, Aho, Markus, Virta, Sauli, Gabbouj, Moncef, Valkama, Mikko, Koskinen, Kari T.

论文摘要

这项工作的目的是概述Acolor项目所面临的研究问题,解决方案和挑战(“自主和协作近海机器人技术”)。该计划结合了三个不同的研究领域,即机电学,机器学习和通信。它是在具有无人层面车辆(USV)作为其主要子系统的自动近海多组分机器人系统中实施的。在本文中,我们在本文中有系统地概述了我们在各个工作领域的结果,该结果通过证明了拟议系统在不同的指导,导航和控制任务以及所有自动群体中的高速和远程双向连接目的方面的优势和功能。这项研究还确定了未来的挑战,从而为Acolor项目的下一步提供了大纲。

The aim of this work is to offer an overview of the research questions, solutions, and challenges faced by the project aColor ("Autonomous and Collaborative Offshore Robotics"). This initiative incorporates three different research areas, namely, mechatronics, machine learning, and communications. It is implemented in an autonomous offshore multicomponent robotic system having an Unmanned Surface Vehicle (USV) as its main subsystem. Our results across the three areas of work are systematically outlined in this paper by demonstrating the advantages and capabilities of the proposed system for different Guidance, Navigation, and Control missions, as well as for the high-speed and long-range bidirectional connectivity purposes across all autonomous subsystems. Challenges for the future are also identified by this study, thus offering an outline for the next steps of the aColor project.

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