INCOSE Membership Meeting

Time & Location:

Tuesday, November 16, 2021  6:00 PM – 8:00 PM by WebEx


6:00-6:45 PM: Introductions of Attendees and Chapter Business

6:45-7:30 PM: Invited Speaker

7:30-7:45 PM: Q&A and Open Discussion


Robotics and Space, Unified Under CPS


Creative Problem Solving (CPS) is a sub-area within Artificial Intelligence (AI) that focuses on methods for solving off-nominal, or anomalous problems in autonomous systems. Despite many advancements in planning and learning, resolving novel problems or adapting existing knowledge to a new context, especially in cases where the environment may change in unpredictable ways post deployment, remains a limiting factor in the safe and useful integration of intelligent systems. To this end, we present three works in CPS; we start with a formalized definition of CPS, followed by discussion of two methods for action learning in robots to enable CPS. Lastly, we present work in spacecraft fault diagnosis as an application of anomaly resolution in CPS. We discuss our findings, concluding with a discussion of future work in applying our CPS resolution methods to a distributed spacecraft mission (DSM) to ensure mission and node level self-healing of coordinated constellations.



Evana Gizzi is an artificial intelligence (AI) Ph.D. candidate at Tufts University in Boston MA, and a Pathways Intern at NASA Goddard Space Flight center in Greenbelt MD. Her PhD research area is creative problem solving in intelligent agents (specifically robots). At GSFC, she serves as PI to project RAISR (Research in AI for Spacecraft Resilience) which investigates methods for onboard fault diagnosis in spacecraft using housekeeping telemetry. Currently, RAISR is being adapted for use in a distributed spacecraft mission (DSM) research effort, where it will facilitate node and mission level self-healing of a constellation. In her free time, Evana likes to spend time with family and friends.

Evana - landscape.jpg

link to meeting recording