Abstract:

Concerns regarding the health and welfare of people are the most important and pressing aspects of climate and environmental change. Compared to outside exposure, indoor air pollution presents detrimental effects on health, this study then aims to provide a solution through the creation of a Voice Commanded Automatic Vacuum Cleaner utilizing Arduino Uno R3 and a voice module as a main component. The quantitative experimental research method was used to determine the obstacle detection, maximum detectable range, and latency of vacuum cleaner. The results of this study revealed that the vacuum cleaner robot excelled in obstacle detection, achieving 100% success rates on walls and chair legs, and a 75% success rate on table legs with trials. It detected voice commands up to a range of 10 meters and efficiently responded with an average latency of 0.83 seconds. The sensor responsiveness in terms of obstacle detection achieved a 100% success rate on both the wall and chair leg obstac...