Overall Objective. The goal of this project is to facilitate the timely retrieval of dynamic situational awareness information from field deployed nodes by an operational center in disaster recovery or search and rescue missions, which are typically characterized by resource-constrained uncertain environments. Efficient situational awareness information retrieval under severe resource limitations is critical in applications like disaster response.

Abstract:  The objective of this project is to improve the performance of autonomous systems in dynamic environments, such as disaster recovery, by integrating perception, planning paradigms, learning, and databases. For the next generation of autonomous systems to be truly effective in terms of tangible performance improvements (e.g., long-term operations, complex and rapidly changing environments), a new level of intelligence must be attained.

Abstract: The overall objective of this project is to create a general CPS design-science that makes design of every CPS simpler, faster and more dependable, while at the same time reducing the cost and the required expertise level. In order to master this challenge, we address four fundamental and closely related issues:

This project has introduced a programming language, compiler, and runtime environment that enables software to control a “cyber-physical” microfluidic device in which integrated sensors and video monitoring equipment form a closed feedback loop (a). The technical contributions of the project include the design and implementation of the language, and a detailed description of the algorithms built into the compiler to enable fast decision-making in real-time in response to sensory feedback (b).