This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports a research project that introduces a novel approach for robots to navigate in unknown environments. The $202,082 award to Trustees of Boston University aims to develop high-level reasoning techniques that allow robots to understand and navigate environments using structured elements like rooms and doors, instead of relying on detailed...
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...
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 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) provides $174,998 to The Johns Hopkins University to develop and refine a computational model of spatial navigation and spatial representation. The research team will use neural data obtained from animals navigating in very large rodent mazes, known as "megaspaces," to explore the influence of stationary landmarks and moving obstacles on...
This $100,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research at the University of Michigan to develop new capabilities for marine robotic systems to autonomously map, visualize, and navigate underwater environments. The project will leverage innovative machine learning methods to fuse acoustic and visual data from the robots, enabling improved mapping and localization in...
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...
This Project Grant award of $424,997 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop a computational model of spatial navigation using neural data from animal experiments. The researchers at the University of California, San Diego (UCSD) will investigate how the hippocampus and entorhinal cortex interact to facilitate navigation, learning, and decision-making in large, complex environments....
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 $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 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...