Authors: Bantu Tejasr, K. Shree Vatsal, Dharavath Mahesh, Assistant Professor Dr. Sukanth T.
Abstract: This paper presents the design and practical implementation of a solar-driven, self-navigating vacuum robot intended for use in indoor settings. The system harnesses photovoltaic energy to eliminate grid dependency, uses a multi-sensor arrangement for real-time obstacle detection, and incorporates an Arduino Mega 2560 microcontroller for centralized decision-making. The prototype was subjected to rigorous testing across multiple indoor scenarios, where it recorded a 97% obstacle detection accuracy, approximately 94% cleaning coverage, and a continuous runtime of 60–70 minutes following a 3–4 hour solar charge. The outcomes confirm that merging renewable energy with embedded robotics yields a cost-effective and sustainable alternative to conventional cleaning appliances.
DOI: http://doi.org/
