Project Grant 2440387
Award Date
7/15/25
Completion Date
6/30/28
Dollars Obligated
$600K
Federal Agency
Division of Computer and Network Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Atlanta, GA 30318, USA
Similar Awards
This $400,601 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop rigorous scientific mechanisms that enable resilience in large-scale cyber-physical systems (CPS), with a focus on connected and autonomous transportation systems (CATS). The key research thrusts include: 1) Modeling cyber, physical, and human assets and their interconnections, as well as economic and policy constraints, to...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CISE) program, with an award amount of $550,000, provides funding for a research project titled "FRR: A NEW STRATEGY FOR TASK-AGNOSTIC CONTROL OF ROBOTIC EXOSKELETONS BY ESTIMATING UNDERLYING BIOLOGICAL EFFORT USING DEEP LEARNING." The project aims to advance exoskeleton technology by developing AI-based approaches to enable generalization of exoskeleton control across...
The National Science Foundation awarded a $250,000 Project Grant to the Georgia Tech Research Corporation from October 1, 2022 to September 30, 2025 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research to develop proactive and reactive adversarial learning techniques for cyber-physical-human systems, with a focus on increasing resilience in autonomous vehicles. Key outcomes include policies to provide robustness against adversarial...
The National Science Foundation (NSF) awarded a $188,410 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of California, Berkeley. This 18-month grant, which began on January 1, 2024, supports the development of risk-aware interactive control and planning algorithms to achieve safe cyber-physical-human (CPS-H) systems. The key objectives of this research project are: (i) creating computationally-tractable risk-aware trajectory planning...
This National Science Foundation Project Grant award of $459,173 supports research advancing the theory and practice of robust simulation analysis under input model risk. Funded through the Engineering program (CFDA 47.041), the awardee, Georgia Tech Research Corporation, will develop a robust decision-making framework to quantify, reduce, and ensure robust decisions when probability distribution functions driving randomness in simulation models are estimated based on available data, introducing...
This $250,000 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to address challenges in stochastic nonlinear control and learning for dynamical systems through a novel "Spectral Dynamic Embedding" approach. Led by the Georgia Tech Research Corporation, the research intends to develop computationally efficient control algorithms suitable for applications in robotics, aerospace, manufacturing, and beyond. The key innovations involve...
This Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), supports research to characterize the vulnerabilities of learning-based controllers in networked cyber-physical systems (CPS). The $149,985 award will enable the University of Alabama in Huntsville (UAH) to develop real-time reward manipulation schemes, multi-level attack strategies, and data-enabled detection methods to...
This National Science Foundation Project Grant of $157,420 awarded in October 2022 under the Engineering (47.041) program will fund research to develop new algorithms for the automated computational design of compound machines containing multiple moving parts. Specifically, the principal investigator at Georgia Tech will create topology optimization frameworks to simultaneously design internal topologies of planar domains and optimize their connectivity to form multibody mechanisms. Finite...
This $150,000 National Science Foundation project grant through the Engineering program (CFDA 47.041) will fund research at Georgia Tech Research Corporation from September 2022 through August 2023 to develop socially intelligent construction robots. The interdisciplinary team will explore robot motion planners and behaviors to understand and follow workplace social norms to enhance safety when collaborating with human workers. Specifically, the researchers will study work contexts essential for...
This $297,881 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports collaborative research to advance the theory and algorithms for distribution control. The research aims to enable precision manufacturing of materials with desired properties and coordination/control of large autonomous agent swarms, promoting national prosperity and welfare. The project will address key challenges in nonlinear agent dynamics, inter-agent...