TY - GEN
T1 - Water Surface Cleaning using a Multi-Sensor Surface Vehicle
AU - Mengling, Yu
AU - Long, Yang
AU - Jiannan, Zhu
AU - Yixin, Yang
AU - Huizhen, Yang
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - autonomous surface vehicle
KW - multi-sensor fusion
KW - obstacle avoidance
KW - water surface cleaning
UR - http://www.scopus.com/inward/record.url?scp=85173660642&partnerID=8YFLogxK
U2 - 10.1109/OCEANSLimerick52467.2023.10244503
DO - 10.1109/OCEANSLimerick52467.2023.10244503
M3 - 会议稿件
AN - SCOPUS:85173660642
T3 - OCEANS 2023 - Limerick, OCEANS Limerick 2023
BT - OCEANS 2023 - Limerick, OCEANS Limerick 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 OCEANS Limerick, OCEANS Limerick 2023
Y2 - 5 June 2023 through 8 June 2023
ER -