Project Grant 2145642
Award Date
6/1/22
Completion Date
5/31/27
Dollars Obligated
$549K
Federal Agency
Division of Information and Intelligent Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Baltimore, MD 21250, USA
Similar Awards
This five-year, $205,073 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will support research at Tufts University to develop methods for transferring multisensory object knowledge across collaborative robots. The Principal Investigator will work to enable robots with different bodies, sensors and movement capabilities to learn from each other's experiences manipulating and perceiving objects through various senses. This...
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 (NSF) Division of Information and Intelligent Systems awarded a $420,530 Project Grant to the Regents of the University of California, doing business as the University of California, Berkeley, under the NSF's Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports a 3-year collaborative research project aimed at "Aligning Robot Representations with Humans". The key objectives are to: 1) develop new types of human...
This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program provides $377,674 to the Rector & Visitors of the University of Virginia (UVA) to enhance adaptability in multimodal human-robot interaction. The key objectives are to: 1) develop advanced algorithms to better understand human intentions using multimodal data like verbal messages, gestures, and eye gaze; 2) create new robot learning and planning...
The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $199,498 Project Grant to Rutgers, The State University, located in New Brunswick, New Jersey. The award, under the NSF Engineering (CFDA 47.041) program, aims to develop advanced technologies to enable intelligent robots to efficiently and autonomously interact with objects in everyday human environments, such as homes and retail stores, based on natural language task descriptions. The...
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 $173,277 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program will fund research to design social skills for robots to collaborate effectively with groups of people. The research team at the University of Chicago will develop three key social skills for robots: building rapport with groups, adapting to human-human relationships, and promoting group norms. These skills will be tested in laboratory studies with...
The National Science Foundation (NSF) awarded a $703,424 Faculty Early Career Development (CAREER) Program grant to Virginia Polytechnic Institute & State University (Virginia Tech) to develop hardware and software tools to facilitate communication between robots and humans through visual, auditory, and haptic interfaces. The research aims to formalize the bidirectional exchange between humans and robots as a closed-loop dynamical system, enabling assistive robots to learn user preferences...
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...
This Project Grant award for $174,604, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, focuses on advancing robotic visual perception and human-embodied visual understanding. The project aims to address limitations in current artificial intelligence systems by developing novel frameworks for understanding human behaviors and interactions, and creating robust learning mechanisms from sparse data. Key products...