Low-cost robotic sensor networks platform for air quality monitoring

Building robotic sensor networks (RSNs) for air quality monitoring application is a challenging frontier for robotic research. Such systems must operate for extended periods of time in unstructured and complex domains. The implementation requires addressing numerous issues at the systems level such as energy efficiency, planning, and controlling robots’ trajectories for achieving robust operation. Hence developing new algorithms is needed to overcome various issues in sensor networks, multi-robots, and multi-sensors system. In this paper, initial experiments towards air quality monitoring using RSNs are proposed. Multi low-cost mobile robots were set up as prototype RSNs for measuring temperature, humidity, and CO/CO2 gas concentration in urban environments.