Kafumbe, Said2023-02-212023-02-212018Kafumbe, S. (2018). iRovers: real-time unmanned four-wheel iot vehicles for air and noise pollution monitoring. In 2018 Advances in Science and Engineering Technology International Conferences (ASET) (pp. 1-5). IEEE.https://nru.uncst.go.ug/handle/123456789/7922Knowing the exact amounts of hazardous gases as well as the noise levels in an indoor setting is vital for a healthy green community. With most people in communities spending time indoor, the quality of the air indoor, as well as the noise levels there play an important role in the health life style of the occupants. Additionally, with the number of road users increasing, as well as with more industries growing, the level of gas emissions into the environment increase. This prompts the need for fully autonomous systems that can move uncontrolled through various places to detect the levels of dangerous gas emissions, the noise levels, and thus monitor the overall air and noise quality for future clean and smart green societies. Work done in the development of mobile robots that can autonomously move around avoiding obstacles and reaching several areas of an indoor setting monitoring the air and noise quality is presented.enrovermoblie robotair pollutionnoise pollutioniRovers: Real-time Unmanned Four-wheel Iot Vehicles for Air and Noise Pollution MonitoringArticle