Advanced International Journal for Research

E-ISSN: 3048-7641     Impact Factor: 9.11

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6, Issue 5 (September-October 2025) Submit your research before last 3 days of October to publish your research paper in the issue of September-October.

Integration of Solar Energy and Embedded Control for Autonomous Grass Cutting Robots

Author(s) P Srividya Devi, Rekha M, V Vijaya Ramaraju
Country India
Abstract This paper presents the design and development of a solar-powered autonomous grass cutting robot with obstacle detection and avoidance capabilities. The system utilizes solar energy as its primary power source, reducing reliance on conventional charging and minimizing environmental impact. At its core, the Arduino Uno development board, based on the Atmega328p microcontroller, performs all control and computational tasks. An ultrasonic sensor enables real-time obstacle detection, allowing the robot to adjust its path dynamically and avoid collisions. The motor driver circuit translates microcontroller signals into precise wheel movements, ensuring smooth navigation and efficient area coverage. Control algorithms are programmed in a simplified C++ environment using the Arduino IDE. The integration of solar energy, embedded control, and intelligent navigation provides an eco-friendly, cost-effective, and sustainable solution for automated lawn care. Experimental results validate effective performance under varying conditions, demonstrating strong potential for residential and institutional applications.
Keywords Solar-powered robot, Grass cutting system, Autonomous lawn mower, Arduino Uno, Atmega328p microcontroller, Ultrasonic sensor, Obstacle detection and avoidance, Renewable energy in robotics, Embedded control system, Sustainable automation.
Field Engineering
Published In Volume 6, Issue 5, September-October 2025
Published On 2025-09-16
DOI https://doi.org/10.63363/aijfr.2025.v06i05.1350
Short DOI https://doi.org/g938mw

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