Intelligent Multi-Unmanned Vehicle Planner with Adaptive Collaborative/Control Technologies (Impact)
Document Type
Article
Publication Date
2017
City
Dayton
Abstract
Thissymposium provides an overview of a researcheffort that integrated several autonomy advancements into a control station prototype to flexibly teama single human operator with heterogeneous unmanned vehicles. The autonomy related technologies optimize asset allocation, plan vehicle routes, recommend courses of actionand provide a distributed support architecturefeaturing an extensible software framework.This effort also integrated these technologies with novel human-autonomy interfaces that allow operators to effectively manage UxV viahigh level “play” commands. Evaluation results indicatethat the innovative approach supports operator-autonomy teaming for effective management of a dozen simulated vehicles performing base defense tasks.
Repository Citation
Draper, M.,
Calhoun, G.,
Hansen, M.,
Douglass, S.,
Spriggs, S.,
Patzek, M.,
Rowe, A.,
Evans, D.,
Ruff, H.,
Behymer, K.,
Howard, M.,
Bearden, G.,
& Frost, E.
(2017). Intelligent Multi-Unmanned Vehicle Planner with Adaptive Collaborative/Control Technologies (Impact). 19th International Symposium on Aviation Psychology, 226-231.
https://corescholar.libraries.wright.edu/isap_2017/85
