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SBIR Phase II: AI Generated Robotic Behavior

Awarded
2537458Grant

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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This Small Business Innovation Research Phase II project, titled AI Generated Robotic Behavior, is funded by the National Science Foundation to advance domestic automation capabilities. The primary goal is to develop a generative AI stack specifically optimized for the robotic manipulation of non-rigid, deformable materials in industrial settings, focusing on increasing execution speed and success rates. By reducing the technical skill required to deploy new automation, the project aims to support future labor forces and enhance overall industrial efficiency. The research strategy involves creating custom AI models trained on operational datasets and implementing continuous learning methodologies that utilize on-premises production data to achieve superhuman performance. The project will undergo experimental validation across various material types to produce a deployable system architecture and validated proof-of-concepts. Managed by the Start-ups and Small Businesses Section, this award supports the development of commercial-scale automation for complex material handling tasks.

General Info

NSF funded project developing generative AI for robotic manipulation of non-rigid industrial materials.

Agency

National Science Foundation → Start-ups and Small Businesses Section

Contract Value

$312,500

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

CA, USA

Set-Aside

NONE

Awardee

SUFFICIENTLY ADVANCED, INC.

Award Issued Date

Documents

0

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Timeline

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Organization & Contact Information

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AgencyNational Science Foundation → Start-ups and Small Businesses Section
Contacts1 person available
OfficeN/A
Organization / AgencyNational Science Foundation → Start-ups and Small Businesses Section
Office AddressN/A
Contacts
Peter AthertonProgram Officer
contact@example.gov
+1 (555) 000-0000

Full Description

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The broader impact of this Small Business Innovation Research (SBIR) Phase II project will be a domestic automation capability supporting future labor forces. The proposed work and innovation aim to enhance the scientific understanding of applying generative AI to minimize the technical skill needed to deploy new automation capabilities. This Small Business Innovation Research (SBIR) Phase II project addresses robotic manipulation of non-rigid materials for industrial automation. The primary research objective is to develop a generative AI stack optimized for deformable material handling, prioritizing execution speed and success rate in industrial settings. A secondary objective is to establish continuous learning methodologies that leverage on-premises production data to enable data-heavy initiatives to achieve superhuman performance. The research approach combines custom AI model development trained on rich operational datasets, experimental validation across multiple deformable material types, and implementation of continuous learning infrastructure for real-time model refinement. Anticipated results include validated proof-of-concepts demonstrating reliable task completion and a deployable system architecture enabling commercial-scale automation of deformable material handling tasks. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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