Overview
- Funding agency
- U.S. National Science Foundation
- Source
- Grants.gov
- Opportunity #
- PD-20-144Y
- Funding instrument
- Grant
- Notice type
- Grant
- Actionability
- Open for response
- Lifecycle
- Open
OIP / Government Intelligence
Preparing the stored Government Intelligence discovery view.
OIP / Government Intelligence / Opportunity detail
Source: Stored live-derived Government dataU.S. National Science Foundation
OIP derived this review page from stored live-derived Government Intelligence source records. The official source and issuing agency remain authoritative.
Opportunity Intelligence Platform is an independent service and is not affiliated with or endorsed by the U.S. Government. Official notices, amendments, attachments, eligibility requirements, funding terms, and deadlines remain under source control.
OIP scores and explanations are informational and do not guarantee eligibility, suitability, compliance, contract award, or financial outcome.
No funding amount is disclosed in the stored source fields.
Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility"
3 warning(s) require review.
Objective score, derived by OIP
Publication decision: Publish with warning
Foundational Research in Robotics -- a Grant (Grant) issued by U.S. National Science Foundation.
Objective Government score 67 for grants-gov-324369, computed from source evidence and Government scoring configuration.
potential_value (not_applicable): potential_value is structurally not applicable for this Government category.
9 evidence record(s) support this pipeline result.
Next action: Review the official Grants.gov opportunity and follow the listed application package instructions.
95/100 · Ok
evidence_quality scored from source evidence and Government scoring guidance (value kind deterministic_calculation, confidence rank 0).
90/100 · Ok
confidence scored from source evidence and Government scoring guidance (value kind rule_based_evaluation, confidence rank 1).
No numeric value · Not Applicable
potential_value is structurally not applicable for this Government category.
62/100 · Ok
urgency scored from source evidence and Government scoring guidance (value kind deterministic_calculation, confidence rank 0).
56/100 · Ok
difficulty scored from source evidence and Government scoring guidance (value kind rule_based_evaluation, confidence rank 1).
62/100 · Ok
time_required scored from source evidence and Government scoring guidance (value kind rule_based_evaluation, confidence rank 1).
48/100 · Ok
capital_required scored from source evidence and Government scoring guidance (value kind rule_based_evaluation, confidence rank 1).
52/100 · Ok
risk scored from source evidence and Government scoring guidance (value kind rule_based_evaluation, confidence rank 1).
68/100 · Ok
novelty scored from source evidence and Government scoring guidance (value kind rule_based_evaluation, confidence rank 1).
Foundational Research in Robotics
$.detail.opportunityTitle · Field Mapping · 98/100 confidence
324369 / PD-20-144Y
$.detail.id · Field Mapping · 99/100 confidence
U.S. National Science Foundation
$.detail.synopsis.agencyName · Field Mapping · 97/100 confidence
Grant
$.detail.synopsis.fundingInstruments · Field Mapping · 96/100 confidence
The Foundational Research in Robotics (FRR) program, jointly led by the CISE and ENG Directorates, supports research on robotic systems that exhibit significant levels of both computational capability and physical complexity. For the purposes of this program, a robot is defined as intelligence embodied in an engineered construct, with the ability to process information, sense, plan, and move within or substantially alter its working environment. Here intelligence includes a broad class of methods that enable a robot to solve problems or to make contextually appropriate decisions and act upon them. The program welcomes research that considers inextricably interwoven questions of intelligence, computation, and embodiment. Projects may also focus on a distinct aspect of intelligence, computation, or embodiment, as long as the proposed research is clearly justified in the context of a class of robots. The focus of the FRR program is on foundational advances in robotics. Robotics is a deeply interdisciplinary field, and proposals are encouraged across the full range of fundamental engineering and computer science research challenges arising in robotics. To be responsive to the FRR program, each proposal should clearly articulate the following three points: The focus of the research project should be a robot or a class of robots, as defined above. [Is there a robot?] The goal of the project should be to endow a robot or a class of robots with new and useful capabilities or to significantly enhance existing capabilities. [Will a robot gain a new or significantly improved capability?] The intellectual contribution of the proposed work should address fundamental gaps in robotics. [Is robotics essential to the intellectual merit of the proposal?] Meaningful experimental validation on a physical platform is encouraged. Projects that do not represent a direct fundamental contribution to the science of robotics or are better aligned with other existing programs at NSF should not be submitted to the FRR program. Potential investigators are strongly encouraged to discuss their projects with an FRR Program Officer before submission. Non-compliant proposals may be returned without review.
Official source materials control eligibility, deadlines, amendments, attachments, and funding terms.
Open official source$.detail.synopsis.synopsisDesc · Field Mapping · 94/100 confidence
2020-02-12T05:00:00.000Z
$.detail.synopsis.postingDate · Field Mapping · 96/100 confidence
Applicant types: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility"
$.detail.synopsis.applicantTypes · Field Mapping · 94/100 confidence
value_not_disclosed
$.detail.synopsis · Field Mapping · 84/100 confidence
2025-06-19T03:00:15.000Z
$.detail.synopsis.lastUpdatedDate · Field Mapping · 88/100 confidence