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Senthilmahesh, et al.

providing versatile and comprehensive data collection time. Future improvements could focus on enhancing
capabilities. However, it may be limited in its scope, sensor durability and expanding the vehicle’s coverage
as it is optimized for specific water parameters. Future area to enable more extensive monitoring of coastal
enhancements could focus on expanding the range habitats.
of detectable parameters and adapting the system Table 1 summarizes various robotic systems
to function effectively across diverse water bodies developed for water monitoring and waste management,
for broader environmental monitoring. Cao et al. highlighting their techniques, merits, demerits, and
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developed an intelligent USV designed for water suggested future enhancements. Various methods exist
quality monitoring, specifically measuring parameters for maintaining water bodies, including autonomous
like turbidity, suspended solids, and pH levels. This cleaning robots known for efficient navigation but
autonomous system operates effectively in shallow limited by operating time and capacity, dual-function
water environments and provides high-resolution robots for cleaning and water quality monitoring, and
measurements, making it well-suited for coastal semi-automatic drainage cleaners with potential AI
habitat monitoring. While it offers precise and adaptive enhancements for gas detection. In addition, automated
monitoring, it is primarily limited to shallow waters and sewage treatment systems could incorporate AI for real-
may encounter navigation challenges in more complex time monitoring, while multifunctional USVs support
environments. Future improvements could focus on environmental monitoring. ASVs aid in hydrocarbon
enhancing the system’s adaptability to a wider range of measurement, and specialized robots, such as waste-
environments and expanding its capabilities to monitor scrubbing and garbage-scooping robots, improve trash
additional water quality parameters. detection and removal of object or particles. Overall,
Kong et al. introduced a smart water waste- the table highlights the strengths and weaknesses of
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scrubbing robot system that utilizes an image module, each system while suggesting future improvements to
motion control, and YOLOv3 for trash detection. This enhance efficiency and effectiveness in their respective
system is highly effective at detecting and scrubbing applications.
floating waste from water surfaces, benefiting from Separately, this article presents a robot designed
YOLOv3’s real-time image processing capabilities. to effectively clean swimming pools while also
While it excels in detecting trash efficiently, it may monitoring water quality, addressing the health
have limitations in adapting to diverse types and sizes concerns associated with inadequate hygiene standards
of waste. Future enhancements could integrate AI for in pool environments. The proposed solution aims to
distinguishing between different types of waste and enhance pool maintenance and ensure a safer swimming
improve the robot’s adaptability and effectiveness in experience for users.
various cleaning scenarios. Ruangpayoongsak et al.
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developed a floating garbage scooper robot designed 3. Proposed swimming pool robot
specifically for collecting certain types of waste, such
as plastic bottles. This robot features a simple design The motive of this study lies in our belief that proper
and is effective for efficiently collecting small trash maintenance of swimming pool cleanliness helps prevent
items from the water surface. However, it is limited diseases. Through a literature survey, we identified
to specific types of waste and may struggle to handle several modern technical components that could support
submerged debris. Future enhancements could focus on the development of an AI robot designed to detect
adapting the robot to manage a broader range of waste waste in swimming pools and assess water quality. The
types, thereby improving its overall efficiency and proposed swimming pool robot is engineered to enhance
effectiveness in cleaning various water environments. pool maintenance through effective cleaning and water
Cryer et al. developed an ASV specifically for coastal quality monitoring, addressing concerns about hygiene
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habitat monitoring, equipped with sensors that measure standards. The proposed design of the robot, illustrated
conductivity, temperature, nitrate levels, and other in Figure 1, includes several functional modules that
key water quality parameters. This ASV enhances outline the sequence of operations. Each and every
both time-based and space-based water quality functionality of the robot is designated as a unit, with
monitoring, enabling comprehensive analysis of aquatic specific components responsible for ensuring effective
environments in coastal areas. However, its effectiveness operation.
is limited by the proximity of the sensors to the water The proposed robot consists of five units: The power
body and concerns regarding sensor durability over unit, sensor unit, wireless unit, motor unit, and water

Volume 22 Issue 2 (2025) 24 doi: 10.36922/ajwep.6564