Smart and Autonomous Systems
The summary for the Smart and Autonomous Systems grant is detailed below.
This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants.
Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact.
If any section is incomplete, please visit the website for the National Science Foundation, which is the U.S. government agency offering this grant.
Smart and Autonomous Systems: The Smart and Autonomous Systems (S&AS) program focuses on Intelligent Physical Systems (IPS) that are capable of robust, long-term autonomy requiring minimal or no human operator intervention in the face of uncertain, unanticipated, and dynamically changing situations. IPS are systems that combine perception, cognition, communication, and actuation to operate in the physical world. Examples include, but are not limited to, robotic platforms, self-driving vehicles, underwater exploration vehicles, and smart grids. Most current IPS operate in pre-programmed ways and in a limited variety of contexts. They are largely incapable of handling novel situations, or of even understanding when they are outside their areas of expertise. To achieve robust, long-term autonomy, however, future IPS need to be aware of their capabilities and limitations and to adapt their behaviors to compensate for limitations and/or changing conditions. To foster such intelligent systems, the S&AS program supports research in four main aspects of IPS: cognizant, taskable, adaptive, and ethical. Cognizant IPS exhibit high-level awareness of their own capabilities and limitations, anticipating potential failures and re-planning accordingly. Taskable IPS can interpret high-level, possibly vague, instructions, planning out and executing concrete actions that are dependent on the particular context in which the system is operating. Adaptive IPS can change their behaviors over time, learning from their own experiences and those of other entities, such as other IPS or humans, and from instruction or observation. Ethical IPS should adhere to a system of societal and legal rules, taking those rules into account when making decisions. Each of these research areas requires the IPS to be knowledge-rich, employing a variety of representation and reasoning mechanisms, such as semantic, probabilistic, commonsense, and meta-reasoning.
Federal Grant Title: | Smart and Autonomous Systems |
Federal Agency Name: | National Science Foundation (NSF) |
Grant Categories: | Science and Technology |
Type of Opportunity: | Discretionary |
Funding Opportunity Number: | 18-557 |
Type of Funding: | Grant |
CFDA Numbers: | 47.070 |
CFDA Descriptions: | Information not provided |
Current Application Deadline: | July 31st, 2018 |
Original Application Deadline: | July 31st, 2018 |
Posted Date: | May 2nd, 2018 |
Creation Date: | May 2nd, 2018 |
Archive Date: | July 1st, 2020 |
Total Program Funding: | $12,000,000 |
Maximum Federal Grant Award: | $1,000,000 |
Minimum Federal Grant Award: | $300,000 |
Expected Number of Awards: | 25 |
Cost Sharing or Matching: | No |
Last Updated: | May 2nd, 2018 |
- Applicants Eligible for this Grant
- Others (see text field entitled "Additional Information on Eligibility" for clarification.)
- Additional Information on Eligibility
- *Who May Submit Proposals: Proposals may only be submitted by the following: -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. -Institutions of Higher Education (IHEs) - Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members.Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of subawards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus.
- Link to Full Grant Announcement
- NSF Publication 18-557
- Grant Announcement Contact
- NSF grants.gov support
[email protected]
If you have any problems linking to this funding announcement, please contact - Similar Government Grants
- • Computer Science for All
- • Improving Undergraduate STEM Education: Computing in Undergraduate Education
- • Computer and Information Science and Engineering Research Expansion Program
- • Campus Cyberinfrastructure
- • Enabling Access to the Semiconductor Chip Ecosystem for Design, Fabrication, and Training
- • Science and Engineering Information Integration and Informatics (SEII)
- • Emerging Models and Technologies for Computation
- • Networking Technology and Systems (NeTS)
- More Grants from the National Science Foundation
- • NSF Regional Innovation Engines
- • Cyberinfrastructure for Public Access and Open Science
- • IUSE/Professional Formation of Engineers: Revolutionizing Engineering Departments
- • Probability
- • Louis Stokes Alliances for Minority Participation