This paper addresses the problem of multiple odor sources localization(MOsL) using a mobile robot in a time-varying airflow environment, and provides a localization method which applies the dempster-shafer(d-s) theory...
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ISBN:
(纸本)9781467374439
This paper addresses the problem of multiple odor sources localization(MOsL) using a mobile robot in a time-varying airflow environment, and provides a localization method which applies the dempster-shafer(d-s) theory to map the possible locations of several odorsources and then uses the map to plan a searching route online for the robot. In the proposed method, the robot carries out the d-s inference and iteratively updates a grid map in which each cell has two states(i.e., occupied by an odorsource, and not occupied by odorsource), using the successive measurements from a gassensor and an anemometer when the robot follows the dynamic-plannedsearching route in the given work area. The searching route is plannedonline to maximize the decline of the uncertainties of the grid cells around the robot. The mapping of the odorsources and the planning of the searching route work side-by-side. simulations are carried out and the results in a time-varying airflow environment show that the locations of the two odorsources can be estimatedonline with the d-s inference, and the time cost can be greatly reduced by following the dynamic-plannedsearching route compared with by following a predefined path shaped like rectangular wave to cover the given searching area.
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