A Framework for the Unsupervised Inference of Relations Between Sensed Object Spatial Distributions and Robot Behaviors
Christopher Morse,Lu Feng,Matthew Dwyer,Sebastian Elbaum,Christopher Morse,Lu Feng,Matthew Dwyer,Sebastian Elbaum
The spatial distribution of sensed objects strongly influences the behavior of mobile robots. Yet, as robots evolve in complexity to operate in increasingly rich environments, it becomes much more difficult to specify the underlying relations between sensed object spatial distributions and robot behaviors. We aim to address this challenge by leveraging system trace data to automatically infer rela...
