Autonomous Decision Support for Unmanned Vehicle Control in a Multi-vehicle, Multi-domain Environment

SoarTech will research technologies, collectively called"Lucid,"to enable and manage supervisory control of multiple unmanned vehicles (UVs). Lucid will monitor the mission and behavior of a team of UVs and (1) detect and project important events, alerting users to them and (2) estimate user workload and automatically distribute tasks when a user is overloaded. Lucid will is designed to allow operators to spend less time interacting with the system and more time doing other important tasks. To achieve these results Lucid will implement computational situation awareness (CSA), and use it as a basis for intelligent UI control, decision support, and high-level command inputs. The core concepts behind Lucid were prototyped and tested in the MAGIC International Robot Competition where SoarTech teamed with the University of Michigan to win in 2010. Lucid will build on that ground-breaking work and will be integrated these new capabilities with existing and future Naval systems such as Raptor X, the Common Control Station (CCS), the Joint Mission Planning System (JMPS), and the Global Command and Control System (GCCS).