Project Grant FA23861914001

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 four-year, $1.2 million project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to advance robotic mapping and navigation capabilities using semantic maps and spatial reasoning based on visual inputs and language instructions. Funded through the Division of Information and Intelligent Systems, the research seeks to enable robots to learn to predict maps of unseen environments using active learning techniques. It also focuses on...

The National Science Foundation awarded a $590,469 project grant to the University of Texas at Austin on April 1, 2021 for research titled "CAREER: ROBUST PERCEPTION AND CUSTOMIZATION FOR LONG-TERM AUTONOMOUS MOBILE SERVICE ROBOTS." The grant is funded through the NSF's Engineering program (CFDA 47.041), which seeks to improve quality of life and economic strength through engineering research and education. Under this five-year project grant, the University of Texas at Austin will...

This $500,000 project grant, awarded on January 1, 2024 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to address the urgent need for end-to-end safety in learning-enabled autonomous systems across various application scenarios, such as self-driving cars and urban air mobility. The project, titled "COLLABORATIVE RESEARCH: SLES: GUARANTEED TUBES FOR SAFE LEARNING ACROSS AUTONOMY ARCHITECTURES,"...

This five-year, $1.2 million project grant from the National Science Foundation's Integrative Activities program will fund research into community-embedded robotics through long-term autonomous deployments. The University of Texas at Austin, in partnership with the University of Texas System, will combine expertise in human-robot interaction, human factors, organizational communication, science and technology studies, team science, and research informatics. The project aims to study interactions...

This $174,660 National Science Foundation project grant supports research at the Rochester Institute of Technology to develop full automation capabilities for bird-sized unmanned aerial vehicles operating in unknown, cluttered indoor environments using only an RGB-D camera for visual perception. Funded under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education across computing and information sciences, this...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant award of $140,758 to the University of Texas at Arlington (UTA) aims to explore the feasibility of using teleoperated robotics to assist individuals with visual impairments. The key goals of this one-year project are to: 1) conduct surveys and interviews with visually impaired individuals to understand the challenges they face in employment and explore their interest in using...

This Project Grant award for $50,000.00, provided by the National Science Foundation (NSF) Engineering program (CFDA 47.041), aims to develop a framework for learning complex, long-horizon tasks from few-shot vision-language demonstrations. The primary objective is to enable robots to learn personalized tasks through natural interactions with users, who can provide visual demonstrations combined with language narration. The research leverages large language models to summarize vision-language...

This National Science Foundation (NSF) Early-Concept Grants for Exploratory Research (EAGER) Project Grant, awarded under the NSF Engineering program (CFDA 47.041), aims to develop research infrastructure to enhance human training through AI-driven task environments integrating humans with virtual scene simulations and multi-modal sensorimotor interactions. The $150,000 award to The Pennsylvania State University will fund research to: 1) establish an edge-assisted mixed-reality infrastructure...

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...