POWERS, THOMAS CORNELIUS. Artificial Lumbered Flight for Autonomous Soaring. (Under the direction of Drs. Larry Silverberg and Ashok Gopalarathnam).Soaring strategies are redefining the flight capabilities of small-class fixed-wing UAVs. This dissertation presents an autonomous soaring strategy that exploits updraft energy independent of the classification of an updraft. The strategy employs an artificial lumbered flight algorithm (ALFA) that weighs near-field updraft velocity estimates and mission priorities for navigation. This work raises the question of ALFA's ability to handle classified updrafts. Indeed, ALFA does not explicitly consider the classification of the updraft. Instead, ALFA measures updraft data along an aircraft's flight path, estimates updraft data ahead of the aircraft, generates candidate flightpaths ahead of the aircraft for evaluation, and then selects the best candidate flightpath based on a reward function. This dissertation describes the structure of ALFA and the tuning processes for the updraft estimator and the decision function.Flight results demonstrate the ability of artificial lumbered flight to harness atmospheric energy and complete its objectives. The flight results consider aircraft behavior in more detail, examining ALFA's effectiveness when flying among classified updrafts. They demonstrate the ability of artificial lumbered flight to navigate unclassified updrafts and harvest energy from thermal updrafts. Finally, this work highlights that autonomous flight design and control of small-class aircraft is maturing into its own flight regime that lies between the flapping flight and cruise flight regimes, and will be driven by the harvesting of energy from the atmosphere.