Project Grant 1725023

This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program provides $250,000 to Northwestern University to develop novel foundation models and learning methods for automating the manufacturing design process. The project aims to leverage large language models like GPT-4 and multi-modal machine learning to enable the generation of CAD models and optimized manufacturing process instructions from natural language inputs...

This EAGER/COLLABORATIVE RESEARCH grant awarded by the National Science Foundation's Engineering program (CFDA 47.041) supports the development of an AI-powered "G-Forge" database system for additive manufacturing. The $100,000 award to New York University aims to create an LLM-powered framework capable of comprehending and retrieving G-code - the instructions that drive 3D printers. Key objectives include G-code verification and debugging, building a community-driven G-code...

The National Science Foundation Division of Engineering Education and Centers awarded a $354,641 project grant to the Georgia TECH Research Corporation for its EAGER: EXPLORATION OF DATA-DRIVEN METHODS FOR CYBER MANUFACTURING project. The award period runs from March 1, 2021 through February 28, 2023. Under the NSF's Engineering (CFDA 47.041) program, which seeks to improve quality of life and economic strength through engineering research and education, the grantee will explore data-driven...

This EAGER (Early-concept Grants for Exploratory Research) project, awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041), aims to create a personalized training framework that adapts to each worker's cognitive functions and sensorimotor skills in collaborative robotic manufacturing environments. The $299,953 grant, awarded on September 1, 2024, with a completion date of August 31, 2026, focuses on advancing personalized training strategies for complex...

The National Science Foundation (NSF) awarded a $300,000 Early-concept Grant for Exploratory Research (EAGER) under the Engineering program (CFDA 47.041) to The Pennsylvania State University, doing business as Penn State, to conduct research on expanding the use of artificial intelligence (AI) in manufacturing. The project focuses on developing deep clustering and generative modeling techniques to identify geometric similarities between new part designs and existing designs to improve...

This $230,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research at the University of Connecticut focused on creating a novel computational paradigm called "SMART-RECOVER" to establish resilience against stealthy cyberphysical attacks on digital manufacturing systems. The key research objectives include: (1) pre-fabrication reconstruction of digital geometric models altered by attacks, (2) in-process remodification of...

This $143,555 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research at the University of California, Santa Barbara (UCSB) to develop new machine control methods and software design techniques that blend precise automated digital fabrication with expert manual control. The project aims to enable domain experts to adapt digital manufacturing processes to their specific product needs, leading...

This $255,043 National Science Foundation project grant supports the development of a virtual and active learning approach to digital manufacturing education at Georgia Tech. Specifically, the awardee will create a new undergraduate digital manufacturing course for virtual learning environments incorporating active learning approaches. Different types of virtual-based, hands-on learning experiences for manufacturing will be designed and piloted, including virtual training simulators for embedded...

This $287,667 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop a cognitive and generative AI-driven cyberinfrastructure (CI) training platform for construction education. The key objectives are: 1) Develop BIM-related curriculum materials integrated with cognitive science theory, 2) Create a generative design method to automatically produce BIM CI working examples, 3) Build a...

This three-year Project Grant from the National Science Foundation's Computer and Information Science and Engineering program, totaling $998,000, will fund research at Augusta University Research Institute to develop a holistic data-driven design framework for modeling and controlling human-cyber-physical systems. Specific products and services include a new hybrid learning architecture to accurately model human behaviors and decision-making; extended reality-assisted interfaces to enhance...