Smart and Autonomous Systems (S&AS)

 
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    CFDA#

    47.070
     

    Funder Type

    Federal Government

    IT Classification

    B - Readily funds technology as part of an award

    Authority

    National Science Foundation (NSF)

    Summary

    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.
     

    History of Funding

    A map of recent awards that have been made through this project can be seen at https://www.nsf.gov/awards/award_visualization.jsp?org=NSF&pims_id=505325&ProgEleCode=039Y&from=fund.

    Additional Information

    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:

    • Cognizant: IPS should exhibit high-level awareness beyond primitive actions, in support of persistent and long-term autonomy. IPS should be aware of their own capabilities, understand their limitations, anticipate possible failures, undertake contingency planning, and recognize when they are operating incorrectly and adapt accordingly. This high-level awareness includes a variety of IPS capabilities, such as: (a) being capable of operating autonomously over extended periods of time, with minimal or no human supervision; and (b) acting in a manner that is understandable by their human collaborators, and being capable of explaining themselves and asking for help, when needed.
    • Taskable: IPS should have the ability to accept high-level, possibly vague, instructions from humans and be capable of translating such goal-oriented directives into a suitable plan for sensing, reasoning, communicating, and acting through the underlying system architecture. Instruction modes for the IPS may include natural language, gestures, and end-user programming techniques, such as sketches and multi-modal dialog systems. IPS should be able to plan and execute a wide range of diverse tasks, in a wide variety of applications. IPS may take the initiative to achieve necessary or important tasks, should be interruptible, and should be capable of performing multiple tasks concurrently.
    • Adaptable: IPS should be capable of optimizing, reconfiguring, and repairing autonomously. They should learn to improve their behaviors over time, including acquiring, modifying, and transforming their skills by augmenting their knowledge on how to perform tasks. They should also autonomously improve the models they use to perceive, plan, and act. These improvements can be the result of past experiences of the IPS when interacting with the environment; observations of how other entities, such as other IPS or humans, interact with the environment; or instructions received by the IPS on how to perform tasks. IPS should learn to perform new types of tasks with little or no human intervention needed to modify their designs or configurations. As a result, IPS are expected to continually adjust their behaviors and be capable of adapting to the particular contexts in which they are operating, even when specifics of those contexts were not initially modeled.
    • Ethical: IPS should adhere to an ethical system of societal and legal rules. IPS are expected to be capable of ethical reasoning, such as incorporating societal values into their reasoning. When reasoning about how their actions might affect the environment, IPS should consider not only how to achieve their tasks but also the consequences of their actions, from an ethical perspective. IPS should recognize moral imperatives, and avoid commands and actions that violate those dictates. Ethical IPS should recognize when multiple moral imperatives are in conflict and correctly apply ethical decision making.
    • Knowledge-Rich: IPS should be able to represent and reason with knowledge at multiple levels of abstraction. IPS should be capable of quantitative and qualitative reasoning, leading to facility with high-level semantic concepts. IPS may reason using multiple models, such as symbolic, ontological, probabilistic, mixed, and commonsense reasoning models. IPS should be capable of meta-reasoning, introspectively reasoning about their own reasoning capabilities and limitations.

    Contacts

    Reid Simmons

    Reid Simmons
    4201 Wilson Boulevard
    Arlington, VA 22230
    (703) 292-4767
     

  • Eligibility Details

    Eligible applicants are:
    • Universities and Colleges - Universities and two- and four-year colleges (including community colleges) accredited in, and having a campus located in, the US acting on behalf of their faculty members. Such organizations also are referred to as academic institutions.
    • Non-profit, non-academic organizations: Independent museums, observatories, research labs, professional societies and similar organizations in the U.S. associated with educational or research activities.

    Deadline Details

    Applications are to be submitted by June 1, 2020.

    Award Details

    Approximately $12,000,000 is available in total funding. between 15-25 awards will be granted. Approximately 10-15 Foundational class awards and 5-10 Integrative class awards are expected to be made. Foundational projects are anticipated to range from $300,000 to $600,000 in total costs for up to three years. Integrative projects are anticipated to range from $500,000 to $1,000,000 in total costs for up to four years. Cost sharing is not required.

    Related Webcasts Use the links below to view the recorded playback of these webcasts


    • NSF Funding for Campus Cyberinfrastructure in Higher Education - Sponsored by NetApp - Playback Available
    • Funding High Performance Computing in Support of University Research – Sponsored by NetApp - Playback Available
    • Getting A Virtualization Project Funded - Sponsored by NetApp - Playback Available

 

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