Water Surface Cleaning using a Multi-Sensor Surface Vehicle

Yu Mengling, Yang Long, Zhu Jiannan, Yang Yixin, Yang Huizhen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Autonomous robots have seen dramatic advances in recent years; however, it still lacks application in water surface cleaning, which mainly relies on manual operation. This paper presents a fully autonomous robot, SMURF, for water surface cleaning including mechanical, hardware design, and the core part-autonomy system. Through investigating the needs of water surface waste cleaning in different water scenarios, we proposed a multi-sensor fusion scheme, which has been applied to the SMURF to achieve better water surface cleaning effects. In addition, we conducted experiments in two different water scenarios to verify the accurate self-localization and independent path planning ability of the SMURF. The experimental results indicate the SMURF has the above capabilities, which can guarantee the smooth implementation of the water surface cleaning tasks. This can to some extent prevent waste from being transported to the ocean.

Original languageEnglish
Title of host publicationOCEANS 2023 - Limerick, OCEANS Limerick 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350332261
DOIs
StatePublished - 2023
Event2023 OCEANS Limerick, OCEANS Limerick 2023 - Limerick, Ireland
Duration: 5 Jun 20238 Jun 2023

Publication series

NameOCEANS 2023 - Limerick, OCEANS Limerick 2023

Conference

Conference2023 OCEANS Limerick, OCEANS Limerick 2023
Country/TerritoryIreland
CityLimerick
Period5/06/238/06/23

Keywords

  • autonomous surface vehicle
  • multi-sensor fusion
  • obstacle avoidance
  • water surface cleaning

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