Abstract
In recent years, more attention has been paid to water surface environment protection. Current water surface waste cleaning mainly relies on manual operations, which are low-efficiency and dangerous. Therefore, in this paper, we design a fully autonomous water surface cleaning robot, SMURF, which achieves high-efficiency water surface cleaning without human operation and adapts to be used in various types of real-world water bodies. In addition, we propose a novel coverage path planning method on water surfaces and an improved nonlinear model predictive controller. The real-world experiment shows that SMURF works well in different kinds of water bodies and achieves much higher efficiency than traditional water surface cleaning methods.
Subject
Ocean Engineering,Water Science and Technology,Civil and Structural Engineering
Reference36 articles.
1. Plastic waste in the marine environment: A review of sources, occurrence and effects;Sci. Total Environ.,2016
2. Detection of floating plastics from satellite and unmanned aerial systems (Plastic Litter Project 2018);Int. J. Appl. Earth Observ. Geoinf.,2019
3. Spatio-temporal monitoring of coastal floating marine debris in the Balearic Islands from sea-cleaning boats;Mar. Poll. Bull.,2019
4. Themistocleous, K., Papoutsa, C., Michaelides, S., and Hadjimitsis, D. (2020). Investigating Detection of Floating Plastic Litter from Space Using Sentinel-2 Imagery. Remote Sens., 12.
5. Cheng, Y., Zhu, J., Jiang, M., Fu, J., Pang, C., Wang, P., Sankaran, K., Onabola, O., Liu, Y., and Liu, D. (2021, January 11–17). FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters. Proceedings of the Proceedings of the IEEE/CVF International Conference on Computer Vision, Montreal, QC, Canada.
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