Project Grant 2532540
- This $230,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) will create new computational tools for accurate human motion simulation that bridge the gap between computer graphics and biomechanics. The project will develop a next-generation, open-source physics simulator that accurately models musculotendon dynamics, enabling fast, physiologically-grounded simulation of complex...
- This $1,200,000 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a new class of digital shape models capable of accurately representing deformable objects like animal bodies and human hands, even when their internal skeletal structures deviate from the norm. The project aims to create a universal deformable shape modeling framework that can integrate data from 3D scans, images, and...
- This Project Grant from the National Science Foundation Division of Information and Intelligent Systems provides $469,704 to support research in developing deep learning-empowered nonlinear deformable models for computer graphics applications. Funded under the Computer and Information Science and Engineering program (CFDA #47.070), the award will support research at the University of Utah from October 1, 2022 to April 30, 2024. The project aims to develop new techniques integrating advanced...
- The National Science Foundation (NSF) has awarded a $599,468 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Texas at Austin. The grant, titled "HCC:SMALL: NEURAL SHAPE GENERATORS UNDER GEOMETRIC, PHYSICAL, AND TOPOLOGICAL PRIORS -SHAPE SYNTHESIS?CREATING FORMAL DESCRIPTIONS OF NOVEL 3-D SHAPES," will fund research to develop a computational framework that incorporates physical, topological, and geometrical preferences...
- The National Science Foundation (NSF) awarded a $321,388 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the Texas A&M Engineering Experiment Station (Tees) to conduct research aimed at developing novel haptic technologies to create a more realistic sense of touch in virtual reality interfaces. The research project has three core objectives: (1) develop models of how human skin interacts with textured surfaces during touch; (2) fabricate...
- The National Science Foundation (NSF) awarded a $649,990 Project Grant under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to the University of Alabama for the development of bio-inspired tensegrity-based assistive and rehabilitation exosuits. This project aims to create exosuits that work in tandem with human biomechanics to augment, assist, and rehabilitate movements, with the goal of reducing musculoskeletal pain, injuries, and effort for the 25% of the U.S....
- The National Science Foundation (NSF) awarded a $490,000 Project Grant through the Mathematical and Physical Sciences program (CFDA 47.049) to the University of Massachusetts (UMass) to develop advanced digital twin models of human agile locomotion. The goal is to optimize the design of wearable technologies, such as robotic exoskeletons and advanced footwear, to enhance warfighter performance and reduce injury risk in extreme conditions. This 3-year project will advance statistical surrogate...
- This $300,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports the development of discretization-free methods for geometry processing and computer graphics at the University of Southern California (USC). The key products and services to be delivered include: New techniques for animating computer graphics characters that bypass the traditional discretization process. Discretization-free...
- The National Science Foundation (NSF) awarded a 5-year, $465,009 CAREER grant to the University of Florida (UF) Division of Sponsored Research to develop a novel neuromechanical simulation framework for improving gait rehabilitation design and prescription. The project aims to model how patients adapt to error-augmentation based gait training interventions that challenge and retrain walking balance control. The research activities include capturing muscle activity and kinematics data from...
- This $300,000 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research at the University of Texas at Austin (UT Austin) to develop new modeling and control methods for deformable (continuum) systems such as soft robots. The research aims to enable advanced theory and algorithms for modeling and control of deformable systems, with applications in areas like manufacturing, healthcare, search and rescue, and agriculture. Key goals include...
The U.S. National Science Foundation (NSF) awarded a $290,000 Project Grant under its Computer and Information Science and Engineering (CISE) federal grant program to the Texas A&M Engineering Experiment Station (Tees) for the project "COLLABORATIVE RESEARCH: CISE-EPSRC: EFFICIENT CONSTRAINT-BASED MUSCULOTENDON SIMULATION FOR BIOMECHANICALLY ACCURATE CHARACTERS." This 4-year project aims to create new computational tools for physiologically accurate human motion simulation, bridging the gap between computer graphics and biomechanics. The research will develop a next-generation, open-source physics simulator that accurately models musculotendon dynamics for applications ranging from sports, health, and rehabilitation to robotics and gaming. Key focus areas include establishing a unified, constraint-based simulation framework and leveraging reinforcement learning for muscle-based control, with the goal of enabling stable, physiologically realistic human motion simulation.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $290.0k | 8/5/25 |