Design and Implementation of an AI and IoT Enabled Solar-Powered Robotic Lawn Mower
DOI:
https://doi.org/10.61779/jasetm.v3i2.6Keywords:
Robotic lawn mower, Solar-powered system, Artificial intelligence, Internet of Things, Autonomous navigationAbstract
The increasing demand for sustainable and autonomous lawn maintenance systems has accelerated the development of intelligent robotic solutions. This paper presents the design and implementation of an AI and IoT based solar-powered robotic lawn mower capable of autonomous navigation, grass cutting, and waste collection. The proposed system utilizes renewable solar energy combined with a rechargeable battery to ensure eco-friendly and energy-efficient operation. An ESP32 microcontroller manages motor control, navigation, and obstacle avoidance, while a Raspberry Pi 4 handles intelligent decision-making and robotic arm operation for waste collection.
Ultrasonic sensors are employed for real-time obstacle detection, ensuring safe and adaptive movement across outdoor environments. A robotic arm equipped with a high-torque servomotor is integrated to detect and collect plastic waste, enhancing environmental cleanliness. IoT connectivity enables real-time monitoring of system status, battery level, and operational control through a web-based interface.
Experimental evaluation demonstrates improved lawn coverage, reduced redundant motion, and efficient power utilization. The integration of solar energy significantly reduces dependence on conventional power sources, making the system cost-effective and environmentally sustainable. The results confirm that AI-driven navigation and IoT-based monitoring enhance operational reliability and user convenience. This work highlights the potential of intelligent robotic systems in sustainable lawn maintenance applications.
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Copyright (c) 2025 N. R. Abhinav, Ejin Joby , S. Sreejith, Santo Varghese , Surya Natarajan
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