Project Grant R44HD085702

This Project Grant award from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program provides $275,000 to advance the development of an electromechanical mass transfer system for space operations. The project aims to create a novel platform that can enable cost-effective movement of resources on the lunar surface and other low-gravity environments without the use of consumable fuels or onboard propulsion systems. The work will focus...

This $4,500,000 federal Project Grant award from the National Institute of Standards and Technology (NIST) under the Congressionally-Identified Projects program (CFDA 11.617) establishes a 21st Century Mobility Testbed at the Texas A&M-RELLIS Campus in Bryan, TX. The project aims to research, test, develop, and evaluate technologies to enable a fully connected transportation system. Key activities include: Establishing an advisory committee and developing a website and technology transfer...

This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) project grant award of $550,000, effective March 1, 2024 through February 28, 2026, aims to develop vehicle technologies that can improve traffic flow and reduce energy use by allowing automated vehicles to dynamically adjust their speeds based on real-time traffic conditions. The project will create a system to automatically detect and filter out erroneous traffic information to enable the safe...

This Project Grant award from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) provides $650,000 to develop a soft growing robotic system to assist older adults and their caregivers with mobility support. The project aims to create an easy-to-use robotic belt that can safely transfer older adults from bed to wheelchair, reducing the physical burden on caregivers. The award includes sub-grants to the Hebrew Rehabilitation Center,...

This National Science Foundation project grant of $235,898 supports collaborative research on human-automation interaction for the future of work through August 2024. Funded by the Integrative Activities program under the CFDA number 47.083, the award to the University of New Hampshire will develop the science and technology of intuitive human-automation interactions that promote safety, transparency, dignity and trust. Specifically, the university will conduct research with German...

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...

This $279,674 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund the development of MELIOREM, an automated tool designed to enhance the safety of autonomous vehicles (AVs). The project aims to leverage high-performance computing infrastructure to conduct rigorous testing of AVs in simulated driving scenarios, identifying and addressing potential safety issues before they impact public...

The Department of Energy's Office of Science awarded Steer TECH LLC a $199,899 Project Grant under the Office of Science Financial Assistance Program (CFDA 81.049). The grant, awarded on July 22, 2024, supports Steer TECH's research into increasing mobility energy productivity, operational efficiency, and low-speed automation for on-demand transit or goods movement in first-mile/last-mile transportation scenarios. As a for-profit limited liability company specializing in autonomous vehicle...

This $249,999 National Science Foundation Technology, Innovation, and Partnerships grant to Texas State University will fund the development of a cost-effective, automated pavement condition data collection system using artificial intelligence from July 2022 to June 2024. The project aims to prototype a novel system using machine learning-based image processing algorithms to improve the accuracy and reduce the costs associated with existing pavement condition assessment methods. Key components...

This $550,000 Project Grant awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) will fund the development and integration of a tire blowout modeling and control system for advanced driver assistance systems (ADAS). The key products to be delivered include a high-fidelity, real-time tire blowout prediction model to evaluate the impact on vehicle dynamics and motions. Based on this model, the project will create a shared...