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

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

Research output: Other conference contributionAbstractScientific


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.
Original languageEnglish
Number of pages10
Publication statusPublished - 27 Apr 2020
Publication typeNot Eligible
EventTransport Research Arena: Rethinking transport – towards clean and inclusive mobility - Helsinki , Finland
Duration: 27 Apr 202030 Apr 2020


ConferenceTransport Research Arena
Abbreviated titleTRA2020
Internet address


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