This $1,200,000 Project Grant was awarded on August 15, 2023 by the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports research at The Pennsylvania State University (Penn State) to develop computer vision algorithms that can accurately estimate biomechanical data like body pose, motion, and forces from video data alone. This will enable the observation of human...
The National Science Foundation (NSF) awarded a $166,289 Project Grant to the University of Massachusetts (UMass) under the Engineering program (CFDA 47.041) to develop a novel single-ear biosensing system for continuous facial and eye movement tracking and 3D facial reconstruction. The research aims to enable camera-free facial landmark detection and 3D facial animation through cross-modal transfer learning between visual and biosignal data. Key project objectives include designing low-power...
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 Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program aims to develop new methods for efficient, accurate, and accessible home assessments to support aging in place for older adults and people with disabilities. The $1,000,000 award will enable researchers at the University of Wisconsin-Madison to utilize emerging technologies in machine learning, augmented reality, and spatial tracking to create an...
This Project Grant award of $450,626.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program supports research to develop a computer vision framework that learns and understands the physical world in a compositional manner. The key products and services to be delivered include: Establishing a unified framework for representing, parsing, and learning the compositionality of physical objects through disentangled modeling of large shape...
This $479,999 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop algorithms and interfaces that enable easier and more effective 3D modeling, even without visual cues. The key objectives are to create: 1) accurate "in-air" 3D drawing tools, 2) sonification techniques for non-visual shape perception and editing, and 3) verbal 3D shape editing tools and interactions. This...
This Project Grant award of $297,722 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) will support research led by Mayo Clinic to investigate cortical oscillations and sensorimotor processing during complex hand function and grasping tasks. The project aims to develop novel computational algorithms to decode neural data and predict grasp force and tactile sensations. It will also explore stimulating specific...
This Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will fund the development of advanced, vision-based tactile gel-robots capable of perceiving and manipulating soft, fragile objects. The $312,960 award will integrate fatigue-resistant photoelastic gels, stress-interpreting photometry systems, and physics-informed machine learning to enable multi-physical perception and ultra-gentle handling capabilities. This research will advance robotics in...
The University of Wisconsin System was awarded a $131,176 project grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support a collaborative research project to develop a better understanding of the technical and socio-technical requirements for accelerating the use of collaborative robotics in manufacturing, mining, construction, and other industrial...
This Project Grant award, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, aims to develop a hybrid, vision-centric framework that integrates intuitive and deliberate visual processing to create more robust visual intelligence. The $111,878 award to New York University (NYU) supports research focused on three primary directions: 1) advancing vision-centric parametric knowledge through techniques like visual...