A Low-cost Autonomous Lawn Mower with AI-Based Obstacle Avoidance and GPS Guidance System

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dc.contributor.authorKosri, Thanapon
dc.contributor.authorSeekhamharn, Tossawat
dc.contributor.authorPhoonsrichaiyasit, Phasawut
dc.contributor.authorKhungpo, Poowadon
dc.contributor.authorSirisuk, Phaophak
dc.contributor.authorWiangtong, Theerayod
dc.date.accessioned2026-08-06T10:51:36Z
dc.date.available2026-08-06T10:51:36Z
dc.date.issued2025-07-01
dc.description.abstractThis paper presents a cost-effective robotic system capable of manual control via RF remote and autonomous navigation using GPS-based information. The system employs artificial intelligence to dynamically classify and avoid non-grass obstacles, ensuring safe operation in real environments. The prototype integrates affordable hardware including Arduino board, sensors, actuators and Raspberry Pi with lightweight algorithms to balance performance and cost. Experimental validation confirms its ability to follow predefined paths with ±1.5 meters deviation in open area and 90% obstacle avoidance success rate. With a total hardware cost under $200, this prototype highlights feasibility for larger-scale implementation.
dc.identifier.citationEngineering and Technology Horizons, 42(3), 2025
dc.identifier.doi10.55003/ETH.420305
dc.identifier.issn29851688
dc.identifier.other2-s2.0-105029888100
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/17085
dc.sourceEngineering and Technology Horizons
dc.subjectAutonomous
dc.subjectGPS navigation
dc.subjectImage processing
dc.subjectLawn mower
dc.subjectLow-cost
dc.subjectYOLO
dc.titleA Low-cost Autonomous Lawn Mower with AI-Based Obstacle Avoidance and GPS Guidance System
dc.typeArticle

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