The Smart and Autonomous Systems (S&AS) program focuses on Intelligent Physical Systems (IPS) that are cognizant, taskable, adaptable, ethical, and knowledge-rich. The S&AS program welcomes research on IPS that are aware of their capabilities and limitations, leading to long-term autonomy requiring minimal or no human operator intervention.
The goal of the Smart and Autonomous Systems (S&AS) program is to promote fundamental research into Intelligent Physical Systems (IPS), enabling us to realize physical systems that:
- are aware of their capabilities and limitations;
- understand highlevel instructions given to them;
- learn from experience to improve system performance;
- take into account ethical norms when acting in the environment; and
- are capable of reasoning over a diverse body of knowledge.
Proposals can be of either of the following two categories, which differ in scope and goals:
- Foundational (FND) projects focus on research into algorithms and technologies that directly support a specific characteristic or component of IPS. While foundational investigations are not required to utilize a physical test bed, they must engage in an evaluation designed to demonstrate relevance to an IPS specified in that project plan.
- Integrative (INT) projects focus on integrating two or more components of IPS into increasingly smart and autonomous systems. Integrative projects should have longer-term vision, with objectives that could not be attained simply by a collection of smaller projects provided with similar resources. Integrative projects must include evaluation of physical systems, preferably in real-world settings. Integrative projects are encouraged to have multiple PIs, preferably from different disciplines.
The following are types of research that the S&AS program anticipates supporting. Proposals need not address all of these example themes, but should be of sufficient scope that they make meaningful progress towards the objectives of the program: