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 awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) will support $361,090 in research to expand the understanding of how robots can make safe decisions in real-world environments. The goal is to develop new methods that enable robots to better assess and respond to nuanced safety challenges, such as avoiding areas marked with caution tape, slowing down when transporting hot liquids, and seeking clarification when uncertain about a task....
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 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 of $377,674 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research at the University of Virginia to enhance the adaptability of multimodal human-robot interactions. The key objectives are to: 1) develop advanced algorithms to better understand human intentions using verbal and nonverbal cues, 2) create new learning and planning methods to help robots align their actions with human intentions, and...
Carnegie Mellon University was awarded a $847,832 project grant from the National Science Foundation Division of Research on Learning in Formal and Informal Settings. The grant is part of the NSF's Computer and Information Science and Engineering program (CFDA #47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Under the three-year award beginning October 1, 2021, Carnegie Mellon University will develop...
This Project Grant award of $348,956 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program will support research at Carnegie Mellon University (CMU) to develop perception systems with an "actionable understanding" of the 3D world. The goal is to build systems that can not only reconstruct 3D structure from visual input, but also comprehend the effects of actions and interactions within that 3D environment. This...
The National Science Foundation awarded a $245,043 Project Grant to Carnegie Mellon University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The five-year award will support research towards theoretical foundations of neural network-based representation learning. Specifically, the awardee will build a comprehensive theory for new neural network representation learning techniques. This includes characterizing statistical properties of...
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 five-year National Science Foundation Project Grant of $1,238,246 will fund research at Carnegie Mellon University toward developing safe autonomous systems. The goal is to enable robots and other autonomous systems to operate safely while interacting closely with humans, as required for applications like next-generation manufacturing infrastructure. The university will develop a new algorithmic framework for assuring safety in autonomous robotic systems. The framework aims to optimize...