The building is on fire but the firefighters are unsure about what's fueling it or how hazardous the situation is. They place a robot at the entrance and program in a rudimentary set of directions using a building map or even the recall of an occupant. The robot starts into the building but discovers a discrepancy between the mapped coordinates and the actual layout. Game over? Not if the current experimental work of two UAH students produces fruit. Advised by Mechanical and Aerospace Engineering assistant professor Dr. Farbod Fahimi, whose guidance they say has been invaluable, graduate student Sai susheel praneeth Kode and his research assistant, undergraduate Computer Engineering major Tevon Walker, are exploring ways to create an electronic "neural network" between the robot and the operator that will help empower both by releasing the robot to perform tasks assigned by the controller within certain parameters.