Artificial Intelligence (AI) Assisted Strike Planner (AASP)
Navy SBIR FY2018.1

Sol No.: Navy SBIR FY2018.1
Topic No.: N181-018
Topic Title: Artificial Intelligence (AI) Assisted Strike Planner (AASP)
Proposal No.: N181-018-0161
Firm: Daniel H. Wagner, Associates, Incorporated
559 West Uwchlan Avenue
Suite 140
Exton, Pennsylvania 19341
Contact: Scott Brown
Phone: (610) 280-3835
Web Site:
Abstract: This project will design and develop concepts to incorporate deep learning and natural language processing into mission and strike planning and re-planning. First, we will determine which functions in the current Joint Mission Planning System Maritime (JMPS-M) can be productively performed in a near-autonomous manner using (a) current JMPS-M methods, (b) methods from other Navy tactical decision aids, (c) deep learning, or (d) natural language processing. Next, we will develop a data collection framework to support near-autonomous mission planning and training of artificial algorithms which are components of it. Third, we will develop methods to create and dynamically update threat maps which allow us to exploit the proven capabilities of convolutional deep neural networks to analyze images for Suppression of Enemy Air Defenses (SEAD). Option tasks will refine our overall plan and demonstrate the role natural language processing plays in mission planning.
Benefits: Unmanned Intelligence, Surveillance and Reconnaissance (ISR) and flexible Strike and Digitally Aided Close Air Support (DACAS) missions are key, primary missions of the post 9/11 U.S. Navy operating forces. The ability to properly plan, execute and assess these mission types is vital to the success of a wide spectrum of naval missions. This project will allow us to learn from our recent combat experiences to build better, more focused planning tools for the manned and unmanned aviation platforms and weapons systems in the inventory. It will also enhance the effectiveness and/or efficiency with which tactical level Joint Mission Planning System Maritime (JMPS-M) users build mission profiles.