A Q-learning approach to automated unmanned air vehicle demining

Q-Learning Approach to Automated Unmanned Air Vehicle (UAV) Demining

This paper develops a Q-learning approach to Unmanned Air Vehicle (UAV) navigation, or path planning, for sensing applications in which an infrared (IR) sensor or camera is installed onboard the UAV for the purpose of detecting and classifying multiple, stationary ground targets. The problem can be considered as a geometric sensor-path planning problem, because the geometry and position of the ...

Humanitarian Demining Using an Insect Based Chemical Unmanned Aerial Vehicle

Trim and Maneuverability Analysis Using a New Constrained PSO Approach of a UAV

Performance characteristic of an Unmanned Air Vehicle (UAV) is investigated using a newly developed heuristic approach. Almost all flight phases of any air vehicle can be categorized into trim and maneuvering flights. In this paper, a new envelope called trim-ability envelope, is introduced and sketched within the conventional flight envelope for a small UAV. Optimal maneuverability of the inte...

A Biologically Based Chemo-Sensing UAV for Humanitarian Demining

Antipersonnel mines, weapons of cheap manufacture but lethal effect, have a high impact on the population even decades after the conflicts have finished. Here we investigate the use of a chemo-sensing Unmanned Aerial Vehicle (cUAV) for demining tasks. We developed a blimp based UAV that is equipped with a broadly tuned metal-thin oxide chemo-sensor. A number of chemical mapping strategies were ...

Unmanned Air System Search and Localization Guidance Using Reinforcement Learning

Requirments for current and future Unmanned Air Vehicles with longer ight endurances have led to a need for an autonomous soaring capability. This paper investigates aircraft ight path guidance for search and localization of Regions of Interest, consisting of atmospheric phenomena. The problem is posed as an o ine agent learning problem, of localizing atmospheric thermal locations and then guid...