Much work has been done in recent years to abstract computational
models of human control strategy (HCS) that are capable of accurately
emulating dynamic human control behaviors. Land-based autonomous
vehicles, both in simulation and on real roads, have made successful
use of this modeling formalism. Little work has been done, however, in
attempting such skill transfer from humans to aerial robotic
vehicles. Although control of an aerial vehicle is quite different
from that of ground vehicles, we contend that human pilots can
potentially serve as excellent guides in the development of
intelligent autonomous aerial vehicles. As a first step in modeling
human control strategies in aerial vehicles, we are developing a
robotic airplane as an experimental platform for studying
human-tomachine skill transfer in aerial vehicles. This paper
describes the configuration of this airplane, the results of early
experiments, and future planned experiments.
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