Pith. sign in

REVIEW

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

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2003.00745 v1 pith:OZ2SCTWX submitted 2020-03-02 math.OC

classification math.OC
keywords acolorautonomousacrossareaschallengescommunicationsdifferentlearning
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

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.

Discussion (0). Sign in to comment.

Pith tools