Defense Advanced Research Projects AgencyTagged Content List

Systems of Systems

Related to new capabilities based on synergy among multiple diverse systems

Showing 11 results for Systems + Autonomy RSS
Dr. Craig Lawrence joined DARPA in 2013 as a Program Manager for the Strategic Technology Office (STO). Dr. Lawrence’s interests are in battle management, command and control (BMC2); autonomy, optimization and control theory; and modeling and simulation. Prior to joining DARPA, Dr. Lawrence was a Technical Director in the Technology Solutions division at BAE Systems. He spent 15 years in industry leading large DoD research and development programs in diverse technical areas including command and control for intelligence, surveillance, and reconnaissance (ISR); planning and optimal resource management; modeling and simulation; and machine learning, control theory, and optimization-based design.
Dr. John S. Paschkewitz joined DARPA as a program manager in 2015. He is interested in new paradigms and foundational approaches for the design of complex systems and system-of-systems (SoS) architectures. Prior to joining DARPA, Dr. Paschkewitz was a research area manager at PARC (formerly Xerox PARC) where he worked on an exceptionally broad range of problems spanning hardware design, software development, materials science, manufacturing, and innovation management.
The Agency also occasionally stands up temporary special projects offices focused on coordinating, developing and/or deploying advanced capabilities on an accelerated time scale. These efforts fall outside of DARPA’s typical program structure and leverage the Agency’s unique organization and skill sets to make rapid progress in technology areas that are critical to national security. DARPA currently operates one special projects office: the Aerospace Projects Office (APO).
Building on recent breakthroughs in autonomous cyber systems and formal methods, DARPA today announced a new research program called Assured Autonomy that aims to advance the ways computing systems can learn and evolve to better manage variations in the environment and enhance the predictability of autonomous systems like driverless vehicles and unmanned aerial vehicles (UAVs).
May 1, 2018,
CENTRA Technology Incorporated Conference Center
DARPA’s Tactical Technology Office is hosting a Proposers Day to provide information to potential applicants on the structure and objectives of the new Urban Reconnaissance through Supervised Autonomy (URSA) program. URSA aims to develop technology to enable autonomous systems operated and supervised by U.S. ground forces to detect hostile forces and establish positive identification of combatants before U.S. troops encounter them. The URSA program seeks to overcome the inherent complexity of the urban environment by combining new knowledge about human behaviors, autonomy algorithms, integrated sensors, multiple sensor modalities, and measurable human responses to discriminate the subtle differences between hostile individuals and noncombatants.