Project Grant 2546659
- This Project Grant award, valued at $200,000.00 and awarded by the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop a scalable framework for achieving robust and assured performance of autonomous agents, such as warehouse robots, delivery robots, drones, and robo-taxis, in real-world environments. The research will integrate formal methods, reinforcement learning, and multi-agent control theory to address critical...
- 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...
- The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program awarded a $600,000 Project Grant to the University of California, Berkeley (UC Berkeley) to develop new techniques for autonomous systems to learn effective behaviors while always respecting strict safety constraints. The 3-year project (1/1/2026 - 12/31/2028) will tackle a core challenge in making intelligent machines like self-driving cars and delivery robots reliable and trustworthy by...
- This $375,000 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The goal of the project is to develop tools and methods to help ensure the safe operation of autonomous systems that utilize reinforcement learning (RL) algorithms. Key activities include: 1) developing inverse RL algorithms to learn an agent's reward function from demonstrations, 2) exploring the agent's norms to...
- 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...
- The National Science Foundation (NSF) has awarded a $266,589 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of California, Berkeley to develop safe learning-enabled systems that can navigate uncertain environments. The project aims to create a two-phase design process that combines an offline robust synthesis phase with an online safety monitoring and adaptation phase, enabling provable end-to-end safety guarantees for learning-enabled...
- 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 federal Project Grant award of $800,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) is supporting research to develop methods for certifying the safety of autonomous systems that use deep learning-enabled perception, prediction, and control components. The key goals of the project are: (1) to develop techniques for learning safety certificates and control policies for these types of learning-enabled autonomous...
- This $197,354 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports research and development on "Information-Theoretic Multiagent Paths for Anticipatory Control of Tasks (IMPACT)." The project aims to advance the scientific and engineering value of intelligent navigation systems by developing novel computational techniques for autonomous robots to plan optimal paths based on exploration, risk, and...
- This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program ($199,481) supports research at George Mason University from June 2023 through May 2026 to develop an approach for improving service robot decision-making and behavior during deployment in unfamiliar environments. The award aims to facilitate fast and reliable online retraining and adaptation of robot planning despite missing world knowledge. The researchers will develop a...
The federal Project Grant award of $121,064.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with a performance period from July 1, 2025 to March 31, 2027, supports research at the University of California, Berkeley to develop a new paradigm for agile autonomous robot navigation in complex environments. The key objectives of this award are to create a novel, low-latency, robust, adaptive, safe, and resilient perception-action framework for autonomous robots that can make fast decisions and maneuverings in dynamic settings. This research aims to advance the state-of-the-art in autonomous navigation approaches, which are currently slow and brittle, in order to enable more robust and resilient agile navigation for small-scale autonomous robots. The project also plans to establish an integrated research and educational platform, including a core curriculum on robot localization and navigation and online racing hackathons, to engage students and lower barriers to participation in autonomous systems research and education.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $121.1k | 9/10/25 |