Fusion-Aided Sensor Resource Management

Perceptronics Solutions proposes to create a convergence of capabilities to support autonomous sensor resource management and autonomous task execution aided by data fusion in contested and denied environments. The capabilities we will integrate and flight test will be deployable as standards-based Units of Portability (UOPs) within the NAVAIR Research and Autonomy Innovation Development Environment and Repository (RAIDER). Specifically, to meet the challenges of this effort we will leverage the following existing capabilities we have developed on prior work: a) Particle Filters and Bayesian Inference Engine for Sensor Data Fusion developed for the Army for Electronic Warfare and Electromagnetic Spectrum Operations; (b) Monte Carlo Tree Search based algorithm for highly dimensional planning problems to support Resource Planning and Management, developed for aviation mission planning for NAVAIR and currently being leveraged on an AFRL program for Title X wargaming; (c) Manned Unmanned Teaming (MUM-T) in mission planning and mission execution, involving work over the past 10 years as well as current programs such as the Army's Advanced Teaming (A-TEAM) program for MUM-T in support of Future Vertical Lift (FVL).   Our proposed work will directly support CONOPs for MUM-T in the use of Air-Launched Effects (ALE) which is a critical component the FVL program. ALEs launched from the Future Attack Reconnaissance Aircraft (FARA) are intended to provide multi-mission effects to penetrate and exploit contested airspace in peer and near-peer Anti-Access/Area Denial (A2/AD) environments to enable FARA freedom of movement on the multi-domain battlefield.  This CONOP will provide a concrete use case for demonstrating the effectiveness of our integrated capabilities in both simulation and flight test.