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 five-year, $548,928 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will support research into developing robots that can learn about their environments through natural spoken language interactions with diverse groups of people. The principal investigator at the University of Maryland Baltimore County will study how robots can acquire an understanding of...
This three-year, $500,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop strategies for robotic manipulation without prior shape models of objects. The Massachusetts Institute of Technology will receive funding to design a state-estimation and task planning system that combines neural network perception with uncertainty modeling. This will enable robots to operate in less restrictive, real-world environments like...
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 Division of Computer and Network Systems awarded a $337,020 project grant to Stanford University under the Computer and Information Science and Engineering program (CFDA 47.070) to support research on visual tactile neural fields for active digital twin generation. Over a three-year period from October 2022 through September 2025, Stanford researchers will develop new algorithms and computational tools to allow robots to combine visual and tactile sensory data...
This $450,000 five-year project grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research at the University of Michigan to develop sensory-motor perception and control algorithms for dexterous object manipulation using visual and high-resolution tactile feedback. The key objectives are to: 1) create a physics-informed tactile representation that addresses "tactile shadows", a form of aliasing that can corrupt perception and state...
This $272,290 three-year Project Grant from the National Science Foundation's Division of Computer and Network Systems will fund the development of visual tactile neural fields (VTNF) for active digital twin generation by robots. The grant supports research by The Trustees of the University of Pennsylvania under the NSF's $47.07 million Computer and Information Science and Engineering program. The researchers will create a new VTNF data representation that allows robots to combine visual and...
The Massachusetts Institute of Technology (MIT) received a three-year, $600,000 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering program (CFDA 47.070). The grant funds collaborative research to develop robotic perception and manipulation capabilities using full-spectral wireless sensing technologies. Specifically, the grant supports three interconnected research thrusts. First, MIT researchers will develop new terahertz frequency sensing...
The National Science Foundation awarded a $438,863 Project Grant to the Regents of the University of Minnesota under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The five-year award will support the development of novel computational algorithms to enable robots to visually understand scenes, learn manipulation action sequences, and adapt to different environmental settings for challenging object grasping. Specifically, the Principal Investigator...
This National Science Foundation (NSF) Faculty Early Career Development (CAREER) Project Grant, awarded under CFDA 47.041 Engineering program, supports research to advance robotic tactile sensing capabilities. The $330,133 award from May 15, 2025 to April 30, 2030 aims to develop innovative frameworks that enable robots to actively explore and perceive the physical properties of objects, such as hardness, texture, and slipperiness. The research focuses on co-optimizing robotic actions and...