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ArtIAMAS Seminar Series: AI for Command and Control of Multi-Domain Operations (MDO)
Wednesday, November 10, 2021
12:00 p.m.
Online seminar
For More Information:
Anna Picard
301 405 4358
appicard@umd.edu

ArtIAMAS Seminar Series 

[Co-organized by UMBC, UMCP and Army Research Lab] 

https://umbc.webex.com/meet/nroy

 

AI for Command and Control of Multi-Domain Operations (MDO) 

Priya Narayanan & Nick Waytowich 

Army Research Lab 

Abstract:

The speed and complexity of Multi-Domain Operations (MDO) against a near-peer adversary in hyperactive environments calls for high-speed decision-making and execution that may often exceed human cognitive ability.  Recently emerging AI techniques such as Deep Reinforcement Learning (DRL) have out performed human world champions in complex, relatively unstructured, partial-information, strategic games such as Dota 2 and Starcarft II. This may suggest the potential of such AI to contribute to C2 of MDO. However, many questions about behaviors and limits of such new AI techniques remain unanswered. As part of the ARL Director’s Strategic Initiative (DSI) program, “AI for C2 of MDO”, we are investigating whether DRL might support  the future agile and adaptive C2 of multi-domain forces that would enable the commander and staff to exploit rapidly and effectively the fleeting Windows of Superiority. This might be especially relevant to forces with high proportion of robotic combat assets. To aid this investigation, we have developed two novel C2 testbeds and DRL based learning within these testbeds. The presentation will include an overview of the project and demonstrate research result:s where an “artificial commander” executes an integrated planning-execution process in a simulated brigade-scale battle.

Biographies  

Dr. Priya Narayanan is an Engineering Researcher at DEVCOM Army Research Laboratory. She received her doctorate from the Mechanical Engineering Department at University of Maryland Baltimore County (UMBC), masters and bachelors from the Aerospace Engineering Department at University of Florida (UF), and Indian Institute of Technology, Madras (IITM) respectively. Prior to ARL, She was a National Research Council (NRC) Fellow in the Navy Center for Applied Research in Artificial Intelligence (NCARAI) at the Naval Research Laboratory (NRL). She has led key research programs in aerial and ground robotics including perception integration activities for the final capstone experimentation of Robotic Collaborative Technology Alliance (Robotic CTA) Program. She currently serves as the Program Manager for “AI for C2 of MDO” Director’s Strategic Initiative (DSI) program that focuses on development of AI-enabled systems for Command and Control of Multi-Domain Forces.

Dr. Nicholas Roy Waytowich is a Machine Learning Research Scientist with the DEVCOM Army Research Laboratory currently stationed at Aberdeen Proving Grounds in Aberdeen MD. He received his BS from the University of North Florida in Mechanical Engineering (2010) and his MS in Electrical and Computer Engineering (2013) and his Ph.D. in Biomedical Engineering from Old Dominion University, VA. Upon completion of his Ph.D., he began a joint postdoctoral position in the Laboratory for Intelligent Imaging and Neural Computing at Columbia University, NY and ARL developing novel brain-computer interfaces.  Two years later, he joined ARL as a civilian researcher and focuses primarily on human-in-the-loop machine learning and AI. Using a variety of machine learning techniques, his expertise and research interests include reinforcement learning, human-in-the-loop learning, multi-agent modeling and developing better and more computationally efficient AI by leveraging human interaction.

 

 



   

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