Project Grant 2127085
- This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $275,000 in funding to Sufficiently Advanced, Inc. for the development of an AI-powered robotic control system. The objective is to enhance automation capabilities and create a more adaptive future labor force by automating repetitive, dull, dirty, and dangerous tasks across various industries. The Phase I project will focus on advancing...
- Federal Grant Award Summary Across AI, Inc. received a $305,000 Phase I Small Business Innovation Research (SBIR) award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084), effective July 1, 2025 through June 30, 2026. The company will develop a novel artificial intelligence (AI) framework that combines algorithmic logical reasoning with machine learning models to enhance the analysis of unstructured data in enterprise...
- The National Science Foundation (NSF) awarded $100,000 to Seedai Inc. on January 15, 2026, through the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) to support the planning and execution of the AI-Ready America Workshop. This two-day convening in Washington, D.C., will bring together stakeholders from federal agencies, state and local governments, industry, philanthropy, education, and community organizations to develop comprehensive strategies for building an AI-ready...
- This SBIR Phase I Project Grant awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program provides $304,200 to develop a novel adaptive learning platform. The platform leverages mixed-reality, competency-based learning to address workforce displacement due to artificial intelligence (AI) and automation. Key innovations include a skills engine using generative AI and robotic process automation (RPA) to identify and map...
- The National Science Foundation (NSF) awarded a $174,229 Project Grant under the Computer and Information Science and Engineering (CISE) program to Michigan Technological University. The grant, awarded on October 1, 2023, with a completion date of September 30, 2025, is focused on developing a self-learning neuromorphic robot system that can operate efficiently in resource-constrained environments. The key objectives of this research project are to: 1) create a neuromorphic robot that utilizes...
- This $349,000 National Science Foundation project grant supports research at Rice University to develop new robotics capabilities under uncertainty. The NSF Division of Civil, Mechanical, and Manufacturing Innovation is funding this three-year award through its Engineering program (CFDA 47.041). Specifically, the researchers will establish generic frameworks for robot manipulation systems to self-identify using exploratory motions while maintaining stability. By changing the traditional...
- This $150,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports fundamental research at the Rochester Institute of Technology (RIT) to develop new robotic manipulation capabilities for safely and reliably handling fragile objects. The research aims to establish an understanding of the synergy between vision and touch sensing, and to create a control method based on object properties that can optimize robotic manipulation for a variety...
- This SBIR Phase I Project Grant, awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program, aims to develop a novel robotic arm architecture with enhanced reach, payload capacity, and affordability. The $304,952 award to Sol Robotics, Inc. will fund the creation of a robotic arm system that uses proprietary linear actuation technology in a parallel truss configuration to overcome limitations of traditional robot arms. The project...
- This three-year Project Grant from the National Science Foundation's Computer and Information Science and Engineering program totals $749,654 to develop an intelligent immersive learning environment for robotics education. Florida International University will research, develop and test an AI-assisted adaptive learning system delivering an industrial robotics curriculum through virtual reality. Key innovations include adaptive intelligent tutoring, AI-coaching detecting learner failure patterns,...
- This $300,000 Project Grant award, provided by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084), supports the development of an AI-powered toolkit to make digital activities, such as puzzles and competitive sports, more accessible for older adults aged 50 and above. The project, led by Northeastern University, aims to address the barriers that prevent many older adults from engaging with digital activities, whether due to...
This Project Grant from the National Science Foundation's Technology, Innovation, and Partnerships program (NSF TIP, CFDA 47.084) totaling $274,746 provides funding for the development of modular and updatable artificial intelligence capabilities for robotics. Optimizing Mind Inc. will utilize the award to create a novel computer vision architecture allowing robots to learn without rehearsal through corrections for real-world environmental details not present in training. This flexible learning solution aims to reduce machine and customer downtime while increasing productivity for computer vision customers in robotics and other industries. By enabling AI systems to accumulate knowledge without forgetting previously learned information, this technology seeks to facilitate disaster response, augment physical abilities, and enable exploration beyond Earth's boundaries. If successful, the framework developed under this SBIR Phase I project may demonstrate learning within dynamic robotic environments without rehearsal requirements that currently limit automated robots to very controlled settings.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 12/21/22 | ||
| Not listed | $20.0k | 11/8/22 | ||
| Not listed | $254.7k | 1/25/22 |