Carnegie Mellon University was awarded a $494,711 Project Grant from the National Science Foundation Division of Information and Intelligent Systems. The grant supports research under the Computer and Information Science and Engineering program (CFDA #47.070) to develop a comprehensive dynamic search framework for asynchronous multi-objective multi-agent planning. The research aims to advance discovery and innovation in computing, communications, and information science through September 2024....
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) provides $202,082 to support a research project at Boston University that introduces a novel approach for robots to navigate unknown environments. The key technical aspects include: Developing compact, interpretable representations of the environment using structured elements extracted from sensor measurements and optimized over time. Synthesizing local and global...
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 Project Grant award of $588,751 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to address computational challenges in real-time analysis of high-throughput sensor data for collaborative autonomous vehicles. The University of Maryland, College Park is developing a novel large-scale machine learning and edge computing framework to integrate emerging techniques like fast deep learning optimization, federated...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) focuses on developing tools to ensure the safe operation of autonomous systems, such as robots and self-driving vehicles. The $375,000 award will be used by the University of Massachusetts to: 1) develop algorithms to align the learned norms of reinforcement learning agents with the intended design goals; 2) create formal verification...
This $1,500,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports the University of Southern California's research on safe multi-agent systems using a neurosymbolic approach. The project aims to develop new theories and algorithms for the design of safe learning-enabled multi-agent systems, with applications in areas like wildfire prevention using drone swarms and semi-automated...
This $398,990 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research exploring fundamental principles underlying multi-agent learning and interactions in complex systems. The primary goals are to develop computationally efficient algorithms that provably converge to equilibrium states, particularly in scenarios with both cooperative and competitive agent interactions and large action...
The National Science Foundation (NSF) awarded a $229,309 Project Grant under CFDA 47.070, the Computer and Information Science and Engineering (CISE) Federal Grant Program, to North Carolina State University (NC State). The grant will fund the development of a new class of control and planning algorithms capable of adjusting performance as computing resources are continually reallocated. This will provide a blueprint for making use of adjustable performance algorithms, which can be adapted to...
This $425,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop a framework for ensuring the safety of future robotic systems. The research project, led by The Trustees of Princeton University, aims to lay the foundation for safe robot autonomy by enabling robots to continually prove the safety of their actions under a wide range of operating conditions, from complex physical...
This $500,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will support research at The Ohio State University to develop situational awareness strategies for autonomous cyber-physical systems operating in dynamic, uncertain environments. The objectives of the six-month project beginning October 1, 2022 are to analyze environmental observability for multiple autonomous agents, develop on-the-fly adaptation strategies to refine...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) grant award, with Federal Assistance CFDA 47.070, provides $112,321 to Carnegie Mellon University to fund a 5-year project focused on optimizing environments for large-scale multi-agent coordination. The project aims to establish a comprehensive framework for designing physical layouts, traffic rules, and other environmental factors that enhance the performance of autonomous agents, such as mobile robots, drones, and decentralized systems. The research will explore advanced modeling techniques, optimization methods, and applications across domains like automated warehouses, unmanned traffic control, and decentralized path planning. This work has the potential to significantly improve the efficiency and safety of various autonomous systems operating in congested environments. No sub-awards are planned for this grant.