Project Grant 2512805
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $500,000 to Carnegie Mellon University to develop techniques for mitigating various risks in the control of autonomous systems operating in uncertain and interactive environments. The five-year project, awarded on July 1, 2025, aims to: 1) quantify long-term risks despite latent variables and limited data, and 2) develop efficient control techniques that provide long-term assurance...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research at Carnegie Mellon University (CMU) to develop simulation tools and control methods that enable robots to reliably navigate and manipulate complex environments. The $600,000 award, running from October 1, 2025 to September 30, 2030, focuses on two key technical goals: 1) creating multi-physics simulation capabilities for emerging applications like space and underwater...
- This $361,090 CAREER grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research to expand understanding of how robots can make safe decisions in real-world environments. The project aims to develop new methods that enable robots to better respond to nuanced safety challenges, such as avoiding areas marked with caution tape, slowing down when transporting hot beverages, and seeking clarification when uncertain about a task. The research intends to...
- This five-year National Science Foundation Project Grant of $1,238,246 will fund research at Carnegie Mellon University toward developing safe autonomous systems. The goal is to enable robots and other autonomous systems to operate safely while interacting closely with humans, as required for applications like next-generation manufacturing infrastructure. The university will develop a new algorithmic framework for assuring safety in autonomous robotic systems. The framework aims to optimize...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) Project Grant award, totaling $639,945, was provided to Carnegie Mellon University (CMU) from June 2024 through May 2027. The research project focuses on developing methods to detect faults in robotic and autonomous systems (RAS) by analyzing program artifacts and real-world data. Key deliverables include: 1) techniques to infer behavior models and check them against...
- This $232,159 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program supports research at Carnegie Mellon University to optimize environments for large-scale multi-agent coordination. The key objectives are to (1) establish a foundational understanding of environment optimization for multi-agent coordination, and (2) develop innovative environment designs tailored for large-scale multi-agent applications like...
- This National Science Foundation (NSF) project grant award under the Engineering program (CFDA 47.041) will support fundamental research to develop new methods for generating control barrier functions for safety-critical autonomous systems. The $460,632 award to the University of Colorado will fund a 3-year research effort to address the knowledge gap in systematically designing constrained control laws that can provably guarantee safety while maximizing system performance. The research team...
- This National Science Foundation (NSF) Engineering (CFDA 47.041) award of $199,369 provides funding from August 1, 2025 to July 31, 2027 for research on enabling efficient, real-time learning of optimal control strategies for complex autonomous systems operating in uncertain environments. The project aims to develop a unified framework that allows autonomous systems to detect, classify, and mitigate disruptions in real-time through game-theoretic modeling and reinforcement learning control...
- This federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research to enable precision manufacturing of materials with desired properties and the coordination and control of large collections of autonomous agents such as robotic or biological swarms. The $313,839 award, which runs from August 1, 2025 to July 31, 2028, aims to address critical gaps in existing control solutions by designing theory and computational algorithms with...
- This National Science Foundation (NSF) Project Grant award under CFDA 47.041 - Engineering provides $275,000 in funding to Carnegie Mellon University to conduct collaborative research into new algorithms and theory for weakly coupled Markov decision processes (WCMDPs). The research aims to develop techniques to "decouple" large WCMDPs into smaller parts and then "reassemble" them properly, drawing on a novel "one-to-many" decision-making approach. This work seeks to...
This federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $550,000 to Carnegie Mellon University (CMU) to advance research on sampling-based optimal control methods for real-time decision-making in complex robotic and autonomous systems. The project aims to develop new mathematical frameworks to better understand, analyze, and improve these flexible and scalable control methods, which can handle highly nonlinear and discontinuous system dynamics. This work supports NSF's mission to promote transformative research in artificial intelligence and robotics, with the potential to impact a wide range of fields where autonomous systems must operate reliably and effectively in unstructured real-world environments. The award period runs from September 1, 2025 to August 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $550.0k | 8/18/25 |