A New Adaptive Decision Maker Framework for the Exploration in an Unknown Region Using Multiple Mobile Sensors
Mohammad Shekaramiz, T.K. Moon, Gunther, Jake · Digital Commons - USU (Utah State University) · 2018
The configuration of multiple mobile sensors to explore and refine knowledge in an unknown field is considered. After some initial discovery, the goal becomes collecting data from the faraway un-sampled regions to fulfill the exploration desire. Simultaneously, it is desired to explore the vicinity of already visited regions where the interesting phenomena exists in order to refine the measurements over there. Due to the fact that the collected data only provide us with local information, there is no optimal solution to be found to decide on the next trajectory of sensors. Here, we provide a new framework that makes reasonable decisions on the trajectory of the mobile sensors to account for both the conflicting data refinement and exploration goals.