Curating Uncertainty for Reliable Exploitation and Collaboration (CURE-C)

XAnalytix Systems (XA) and the University at Buffalo (UB) proposed two levels of advances to collaborative systems that will enable the integration of multi-agent cyber-physical-human (CPH) teams where the entities have various levels of uncertainty and trustworthiness. Phase I, titled CURE-C: Curating Uncertainty for Reliable Exploitation and Collaboration, focused on a mission planning system for ground-based vehicle tasking in the context of an automated resupply system for a planet with several outlying bases supporting human life. However, the research is applicable to almost any planning process when the input data is stochastic or unknown. In Phase 2, the team will validate the work that in Phase 1 in a relevant environment as well as provide design of sensor architecture for intelligence-on-the-edge given the stochastic aspects of a mission