Developing onboard abilities to control and task unmanned vehicles (UxVs) and swarms of UxVs is key to both wider use of systems. Herein, the authors develop and apply a probabilistic reasoning framework for UxVs. The reasoning system considers tasks, in this case search and rescue, based on both prior knowledge and sensor feedback. The approach considered is an imperative program to generate situation de-scriptions and decision problems as probabilistic, declarative programs. This operation replaces human tasking of UxVs. Results indicate a significant decrease in swarm fuel usage when compared to manned tasking of assets for the same task..

Date Published: 28 May 2019
PDF: 7 pages
Proc. SPIE 11017, Sensors and Systems for Space Applications XII, 110170A (28 May 2019); doi: 10.1117/12.2519451

Published in SPIE Proceedings Vol. 11017:
Sensors and Systems for Space Applications XII
Genshe Chen; Khanh D. Pham, Editor(s)