This $177,000 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports the establishment of the Mechano-Computation for Expanding Scientific Horizons (MESH) network. The goal of this 5-year initiative is to unite diverse researchers from fields like robotics, neuroscience, and materials science to advance the integration of mechanical and computational intelligence, known as "mechano-computation." The network aims to facilitate...
The National Science Foundation (NSF) awarded a $127,350 Project Grant to the University of California, San Diego (UCSD) under the Engineering program (CFDA 47.041). The grant, titled "Collaborative Research: Building a Collaborative Network of Researchers in Mechano-Computation," aims to establish the Mechano-Computation for Expanding Scientific Horizons (MESH) network. This network will unite researchers across disciplines, including robotics, mechanics, neuroscience, and applied...
This $478,823 federal Project Grant award from the National Science Foundation (NSF), under the Engineering program (CFDA 47.041), supports foundational research to create intelligent structures and materials with multi-faceted mechanical intelligence (mechano-intelligence). The objective is to leverage multi-functional origami as a mechanical neural network to develop self-aware, autonomous engineering systems capable of perceiving, memorizing, and making decisions about their environment....
This five-hundred thirty-five thousand one hundred twenty dollar Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation will fund research at the University of Pittsburgh into mechanical metamaterial electronics. Under the Engineering (47.041) federal grant program, the university will establish a new field of mechanical metamaterial electronics that couples mechanical metamaterials, digital electronics, and nano energy harvesting. The...
The $148,060 Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041) will fund research at Carnegie Mellon University investigating machine learning approaches to support engineering designers in digital manufacturing. The university will mine part designs from open online repositories and curated datasets developed through in-class challenges. A machine learning pipeline will extract design...
Carnegie Mellon University was awarded a $992,182 project grant from the National Science Foundation's Engineering program (CFDA 47.041) for the period of September 1, 2021 through August 31, 2024. The grant funds the acquisition of an automated x-ray scattering instrument to enable in situ multiscale studies. NSF's Engineering program seeks to improve quality of life and economic strength by fostering innovation and excellence in engineering research and education. This particular award will...
This $301,570 project grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop "material-changing interfaces" - materials that can adapt their properties to user interactions. The research at Carnegie Mellon University will focus on three key challenges: 1) understanding how users will interact with these adaptive materials, 2) developing computational design tools to optimize new material...
Carnegie Mellon University was awarded a $317,416 Project Grant from the National Science Foundation Division of Information and Intelligent Systems. The grant was awarded under the Computer and Information Science and Engineering program (CFDA #47.070) to support the research project "COLLABORATIVE RESEARCH: FRR: ADAPTIVE MECHANICS, LEARNING AND INTELLIGENT CONTROL IMPROVE SOFT ROBOTIC GRASPING" from February 1, 2022 to January 31, 2025. The grant will fund research at Carnegie Mellon...
The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded a $1,220,133 Project Grant to Carnegie Mellon University on September 15, 2021 with a completion date of August 31, 2025. The grant funds research to develop modular robots constructed using DNA nanotechnology, modeling nanostructures with graph neural networks, and manufacturing DNA origami. This work directly supports the goals of the NSF Directorate for Engineering's CFDA 47.041 Engineering...
This $325,044 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research to develop a new "aerodynamic fiber deposition" technology to manufacture biomimetic soft fiber-reinforced composites with spatially varying fiber arrangements. The research aims to enable the production of high-throughput, highly controlled nano/microfiber patterns that mimic the complex fiber structures found in biological tissues like skin, muscle, and...
This $195,647 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) will fund the Mechano-Computation for Expanding Scientific Horizons (MESH) network. The goal of this 5-year project is to establish a collaborative network of researchers from diverse fields like robotics, neuroscience, and materials science to advance the integration of mechanical and computational intelligence, known as "mechano-computation." Key outcomes include developing a theoretical framework and standardized metrics for mechano-computation, improving interdisciplinary collaboration, training early-career researchers, and demonstrating practical mechano-computation systems addressing societal challenges. The grant recipient is Carnegie Mellon University, which will lead this interdisciplinary effort to drive innovation in autonomous systems and robotic technologies. No subawards are planned under this grant.