Project Grant 2532541
- 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,...
- 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...
- 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...
- 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...
- 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 award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $249,894 to the New York Institute of Technology (NYIT) to establish a comprehensive computational framework for hierarchical modeling of skeletal muscles. The project aims to advance the fundamental understanding of skeletal muscle biomechanics by integrating knowledge from computational methods, constitutive mathematical models, microstructural intricacies,...
- 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 $317,960 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will enable Des Moines University Osteopathic Medical Center to acquire and integrate a 3D motion capture system into their research and curriculum. The system will support interdisciplinary STEM research and education, allowing researchers to discover new ways to assist individuals with injuries or disabilities and improve overall human movement performance. The project...
- This $599,988 federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program supports research to develop intrinsically robust and interpretable motion synthesis for periodic and contact-rich cyber-physical systems (CPS). The key objectives are to: (1) establish a theoretical foundation of contraction in hybrid systems to model contact-rich CPS, (2) design computationally-efficient algorithms to determine regions of attraction...
- This Project Grant award, valued at $126,795.00 and provided by the National Science Foundation's Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports collaborative research to develop kinetic 3D computational models of bipedal walking. The key objectives of this research are to: Conduct loading experiments on human and ape feet to collect anatomic and kinematic data. Build musculoskeletal models of human and ape feet...
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 human movements for applications ranging from sports and rehabilitation to robotics and gaming. Key research thrusts include establishing a unified, constraint-based simulation framework, addressing muscle-based control using reinforcement learning, and optimizing simulation performance and scalability. This work will provide movement scientists with powerful tools to simulate real-world movements that were previously infeasible, opening new cross-disciplinary collaboration opportunities. The award is held by the Regents of the University of California at Riverside, a prominent public research university.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $230.0k | 8/5/25 |