Meeting Speaker: Chris Scrapper, Evolutionary Systems Engineering for Unmanned Systems at SPAWAR

Albuquerque , USA
Applied Technology Associates (ATA) at 1300 Britt Street, SE

14-March 2015, 4:45-6:00 pm 
Location: Applied Technology Associates (ATA) at 1300 Britt Street, SE, Albuquerque, NM; or Remote at https://incose.pgimeet.com/GlobalmeetFifteen, with Access Number: 1-719-325-2630
, Guest Passcode: 827 509 8579

Abstract: At the Navy’s SPAWAR SSC-PAC Unmanned System Group, an evolutionary system engineering wave model is employed to support the S&T management, development, maturation, integration, test, and experimentation of autonomous capabilities. The SE wave model establishes a continuous improvement process for assessing capabilities and limitations of autonomy, maturing technologies based on key performance parameters, and reducing risk by understanding performance tradeoffs and associated cost as the system evolves. To ensure capability objectives are met, this approach provides a systematic process and overarching strategies for insertion of new technology, accumulation of evidentiary information, and management of risk. This presentation will provide an overview of the Evolutionary System Engineering Model, and its instantiation as the Integration Strategy for ONR Code 30 Autonomy Technology Investment Area.

Bio: Chris Scrapper is a lead system engineer for SPAWAR System Center Pacific Unmanned Systems Group, and the Integration Lead for the ONR 30 Maneuver, Autonomy Technology Investment Area (TIA). Over the past decade, Chris has been involved with a variety of innovative programs focused on research, development, integration, test and evaluation of autonomous ground systems. Chris has authored over 30 peer-reviewed publications, and is actively involved in the development of system engineering best practices and performance standards for unmanned ground systems within the Department of Defense, the Department of Homeland Security, and the Department of Commerce. Chris has a B.S. In Computer and Applied Mathematics from American University, and an M.S in Computer Science from the George Washington University.

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