The Catholic University of America
       

Panel for Intelligent System Concepts in Engineering and Science (PISCES) working group, sponsored by IACS, and led be P.E. Clark. Our goal is to advance the design and operations activities in our various applications (smart buildings, smart robotics, smart spacecraft, smart health) through the use of intelligent decision engines.

 

Frontier is a collaborative engineering framework for multi-disciplinary web-based design and analysis of aerospace systems that is founded on an intelligent decision engine, which aids design synthesis and optimization.  Frontier was initially funded by the DARPA Tactical Technology Office’s F6 (Future, Fast, Flexible, Fractionated, Free-Flying) program.

 

SmartSat is a multi-spacecraft platform supporting autonomous close proximity operations based on advanced in-space primary propulsion technologies, NASA-patented Synthetic Neural System control, and innovative inter-spacecraft communications and computation.  SmartSat brings important capabilities to the CubeSat form factors enabling new pathways for the research and development of advanced space capabilities.

 

LunarCube is a proposed extension of the CubeSat standard to support access to deep space via cis-lunar/lunar missions.  Enabling a cost-effective approach, the development from CubeSat to LunarCube progresses through development stages (Earth orbit to lunar orbit to lunar surface) that simultaneously support testing of technology required to operate in deep space and provide interesting science 
 

PISCES is a multi-disciplinary working group sponsored by IACS, chaired by P.E. Clark, and includes the participation of multiple departments and technology partners.  Our goal is to advance the design and operations activities in our various applications (smart buildings, smart robotics, smart spacecraft, smart health) through the use of intelligent decision engines built on Synthetic Neural System technologies for sustainable, resilient systems that stably adapt to internal and external change.

  

Tetrahedral (TET) Robotics & Rovers are based on the self-reconfigurable synthetic skeleto-muscular system (SMS) combined with the Synthetic Neural System (SNS), technologies that had their start at NASA Goddard Space Flight Center, and further developed at CUA in the Frontier program, including Intelligent Decision Engine (IDE).  The TET architecture challenges prevailing paradigms in AI and robotics by providing a way for these systems to stably adapt to irregular or un-prescribed circumstances, addressing the long-standing “brittleness” problem. Our goal is for CUA Physics, Engineering, and Architecture faculty and students to build and demonstrate, through the use of an open source toolkit, the first rover capable of intelligent self-reconfiguration in response to changes in the environment or demand.