Smart and Autonomous Systems (S&AS) PROGRAM SOLICITATION NSF 16-608
Smart and Autonomous Systems (S&AS)
PROGRAM SOLICITATION
NSF 16-608
Full Proposal Deadline(s) (due by 5 p.m. submitter's local time):
December 19, 2016
December 11, 2017
Second Monday in December, Annually Thereafter
IMPORTANT INFORMATION AND REVISION NOTES
Any proposal submitted in response to this solicitation should be submitted in accordance with the revised NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 16-1), which is effective for proposals submitted, or due, on or after January 25, 2016.
Smart and Autonomous Systems (S&AS) NSF 16-608
https://www.nsf.gov/pubs/2016/nsf16608/nsf16608.htm
CONTACTS
Reid Simmons, Program Director, CISE/IIS, telephone: (703) 292-4767, email:resimmon@nsf.gov
David Corman, Program Director, CISE/CNS, telephone: (703) 292-8754, email:dcorman@nsf.gov
Samee Khan, Program Director, CISE/CNS, telephone: (703) 292-8061, email: skhan@nsf.gov
Jack Snoeyink, Program Director, CISE/CCF, telephone: (703) 292-8910, email:jsnoeyin@nsf.gov
Jie Yang, Program Director, CISE/IIS, telephone: (703) 292-4768, email: jyang@nsf.gov
PROGRAM GUIDELINES
Important Information and Revision Notes
Any proposal submitted in response to this solicitation should be submitted in accordance with the revised NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 16-1), which is effective for proposals submitted, or due, on or after January 25, 2016.
DUE DATES
Full Proposal Deadline(s) (due by 5 p.m. submitter's local time):
December 19, 2016
December 11, 2017
Second Monday in December, Annually Thereafter
SYNOPSIS
The Smart and Autonomous Systems (S&AS) program focuses on Intelligent Physical Systems (IPS) that are cognizant, taskable, reflective, 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. Example IPS include, but are not limited to, robotic platforms and networked systems that combine computing, sensing, communication, and actuation. Cognizant IPS exhibit high-level awareness beyond primitive actions, in support of persistent and long-term autonomy. Taskable IPS can interpret high-level, possibly vague, instructions, translating them into concrete actions that are dependent on the particular context in which the IPS is operating. Reflective IPS can learn from their own experiences and those of other entities, such as other IPS or humans, and from instruction or observation; they may exhibit self-aware and self-optimizing capabilities. Ethical IPS should adhere to a system of societal and legal rules, taking those rules into account when making decisions. Knowledge-rich IPS employ a variety of representation and reasoning mechanisms, such as semantic, probabilistic and commonsense reasoning; are cognitively plausible; reason about uncertainty in decision making; and reason about the intentions of other entities in decision making.
REVISIONS AND UPDATES