Cooperative Agreement FA87501820117

This $474,083 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program supports research to develop embodied artificial intelligence (AI) agents capable of perceiving, reasoning, and interacting effectively with both the physical world and other agents in dynamic, evolving environments. The key objectives are to: (1) create paradigms for robotic agents to autonomously propose new tasks, generate environments, and...

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, $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 Project Grant from the National Science Foundation's Division of Behavioral and Cognitive Sciences, under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075), provides $418,127 to Rensselaer Polytechnic Institute. The funding will support research investigating how people visually guide movement to satisfy goals over multiple time horizons through complex navigation tasks. Researchers will study human steering and gaze strategies using a custom virtual...

This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, supports a research project titled "CAREER: ACTIVE SCENE UNDERSTANDING BY AND FOR ROBOT MANIPULATION" at Stanford University. The $130,000 grant, awarded on October 1, 2023, aims to develop a self-improving robot perception system that leverages manipulation skills for active scene understanding. The key focus is on enabling robots to...

This National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences award under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $1,646,782 in funding to Trustees of Boston University over 5 years to develop a brain-inspired algorithm for complex scene analysis. The key products and services being delivered include: The research integrates three interdisciplinary threads to develop this algorithm: Using brain imaging and machine learning to decode...

This $489,062 Project Grant awarded by the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program to The Pennsylvania State University supports research to understand how the brain integrates sensory inputs to enable complex movements and maintain postural stability. The research team will use virtual reality and robotic technology to study how humans control movements and balance when interacting with moving objects. The project aims to elucidate the...

This NSF-BSF project grant award of $233,958 to Brown University will support research to investigate the interdependence between perception, cognition, and action. The project aims to understand how specific actions can influence visual perception, and which aspects of visual processing are improved when preparing to act. It will use a combination of behavioral, psychophysical, physiological, and computational approaches. The research team will also engage in outreach activities to promote...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $300,000 to Arizona State University (ASU) from August 2024 to July 2027 aims to enhance the performance of reinforcement learning (RL) systems in completing difficult tasks in complex environments. The project seeks to develop task and environment representations specifically for active design in RL, including: 1) Active Environment Design for RL to...

This $483,129 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences program (CFDA 47.075) supports research to advance understanding of human visual perception and scene processing. The project seeks to test whether state-of-the-art AI vision-language models can generate plausible visual scenes that mimic how the human brain perceives objects in peripheral vision during everyday activities. The research aims to provide insights into the...