Project Grant N629092212005

This $398,990 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research at the University of California, Irvine (UCI) to explore fundamental principles underlying how groups of intelligent agents interact and learn within shared environments. The research project aims to develop efficient algorithms and theoretical frameworks for analyzing learning processes in multi-agent systems, with a focus on...

This collaborative research project, funded by the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), addresses critical safety and robustness challenges in autonomous multi-agent systems. Awarded to the University of California, Berkeley on August 1, 2025, with total funding of $200,000 and a completion date of July 31, 2028, the project develops a scalable framework for...

This Project Grant from the National Science Foundation's Division of Computer and Network Systems provides $1,009,600 to Arizona State University for research titled "Collaborative Research: SATC: Core: Medium: Foundations of Trust-Centered Multi-Agent Distributed Coordination." The funding period is from June 15, 2022 through May 31, 2026. The award supports the development of theoretical foundations for trust-centered resilience in distributed coordination and optimization of...

This National Science Foundation (NSF) EAGER Project Grant (CFDA 47.041 - Engineering) awarded to Washington State University will investigate the emergence, mechanisms, and applications of "collective rationality" (CR) among self-interested agents in the design of mixed autonomy networks and infrastructure systems. The $154,063 award, spanning September 2024 to August 2026, will explore how strategic agent behaviors and cooperation in mixed traffic environments can lead to...

This Cooperative Agreement, awarded by the U.S. Department of Defense under the Basic Scientific Research program (CFDA 12.431), supports research on "Brain-Inspired Human-Robot Cooperative Autonomy via Distributed Inference and Trust." The $250,000 award to the University of Kansas Center for Research Inc. will fund the development of trust-based algorithms and mechanisms to enable robots to evaluate and combine inputs from human operators, improving the efficiency and robustness of...

This National Science Foundation Project Grant award under the Engineering program (CFDA 47.041) will investigate the emergence, mechanisms, and applications of "collective rationality" among self-interested agents in the design of mixed autonomy networks and infrastructure systems. The $145,305 award, effective from September 1, 2024 to August 31, 2026, will be executed by the University of California, Davis. The research will explore how cooperative behaviors can spontaneously...

This federal Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program provides $375,000 to the University of Massachusetts to conduct research on aligning the norms of autonomous robots with human values. The key activities include: Developing inverse reinforcement learning algorithms to learn reward functions from demonstrations constrained by deontic logic. Systematically exploring the trained agent's...

This Project Grant award from the National Science Foundation (NSF) Division of Information and Intelligent Systems, under the NSF CISE (Computer and Information Science and Engineering) program (CFDA 47.070), provides $424,916 to the Board of Regents of the University of Nebraska (dba University of Nebraska) from August 1, 2023 to July 31, 2027. The award supports collaborative research to investigate decision-making frameworks for open multiagent systems, where agents may enter/leave the...

The National Science Foundation awarded Princeton University a $411,476 project grant under the Computer and Information Science and Engineering program (CFDA 47.070) to develop the theoretical foundations of trust-centered resilience for distributed coordination and optimization of multi-agent systems in the presence of adversaries. Specifically, the funding will support research from June 2022 to May 2026 to establish analytical frameworks and efficient exploitation of stochastic information...

This Project Grant from the National Science Foundation's $389,042 Computer and Information Science and Engineering program will support research at the University of Texas at Austin to develop interaction-aware planning and control techniques for robotic navigation in crowded, dynamic environments. Over a three-year period from September 2022 to August 2025, the university researchers will pursue three goals: first, constructing new algorithms to find approximate equilibrium solutions in...