Abstract— This paper describes an investigation into the adaptive control of autonomous mobile sensor platforms for providing oceanographic sampling. Mobile sensor platforms prov...
Donald P. Eickstedt, Michael R. Benjamin, Ding Wan...
—The purpose of this paper is to present the linkage of Thetis (a real time multi-vehicles hybrid simulator for heterogeneous vehicles) with a control architecture for the manage...
When controlling an autonomous system, it is inefficient or sometimes impossible for the human operator to specify detailed commands. Instead, the field of AI autonomy has develop...
When controlling dynamic systems, such as mobile robots in uncertain environments, there is a trade off between risk and reward. For example, a race car can turn a corner faster b...
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...