Project Grant 2216344
- This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $106,315 to the University of Southern California to conduct a longitudinal investigation of caregiving, everyday motor experiences, and motor skill development in infants using wearable sensing technologies. The project aims to: 1) measure the amount and types of movement 7-month-old infants engage in at home during a typical week, 2) examine caregiving...
- This two-year, $299,926 National Science Foundation project grant funds research at Clemson University to identify principles of human motor skill learning when using multi-joint arm exoskeletons. The goal is to discover fundamental principles that will guide the design of adaptable exoskeleton control algorithms and personalized training protocols. Researchers will introduce exoskeletons to users with varying baseline skill levels performing complex tasks. A comprehensive set of neuromotor...
- This $500,000 Project Grant from the National Science Foundation's Division of Behavioral and Cognitive Sciences, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), will fund the development of an automated coaching system for teaching human motion skills. Dartmouth College, with sub-awardee Columbia University, will receive funding from August 15, 2022 to July 31, 2025. The system will use recorded expert demonstrations and sensed actions from learners to identify...
- This $1,200,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of novel algorithms and computational frameworks to enable safe and reliable deployment of AI-driven autonomous systems. The project at the University of Southern California (USC) aims to design algorithms that use representation learning to summarize high-dimensional sensor data, such as from cameras and LiDAR, into compact...
- This federal Project Grant award of $476,440 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with a performance period of September 1, 2025 through August 31, 2030, supports research to develop new algorithms for unsupervised and autonomous reinforcement learning of skills. The key objectives of this project are to: 1) develop algorithms that can discover reusable skills through trial-and-error learning, without requiring human...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded a $714,227 Project Grant to the Rehabilitation Institute of Chicago to support research integrating human and machine learning for enabling co-adaptive body-machine interfaces. The goal of this three-year project beginning September 2021 and ending August 2024 is to characterize the human learning process in developing representations of interfaces and to develop machine learning rules for...
- This $414,995 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop personalized artificial intelligence (AI) systems that can tailor their responses to individual users based on their unique backgrounds and needs. Key objectives include: Gathering a diverse dataset to characterize the types of responses preferred by different people, particularly underrepresented groups. Using this data to...
- This Project Grant award from the National Science Foundation (NSF) Engineering Program (CFDA 47.041) will fund research at Arizona State University (ASU) to enhance self-directed hand rehabilitation using AI-driven recovery dynamics monitoring and motivation boosting. The $599,960 award, commencing on July 1, 2025 and concluding on June 30, 2030, aims to address the challenges faced by individuals with hand movement issues due to neurological conditions, aging, or injuries. The project will...
- This EAGER (Early-concept Grants for Exploratory Research) project, awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041), aims to create a personalized training framework that adapts to each worker's cognitive functions and sensorimotor skills in collaborative robotic manufacturing environments. The $299,953 grant, awarded on September 1, 2024, with a completion date of August 31, 2026, focuses on advancing personalized training strategies for complex...
- This National Science Foundation (NSF) Project Grant under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) will fund a longitudinal investigation of infant motor skill development using wearable sensors and artificial intelligence. The $423,915 award to the Regents of the University of California at Riverside will collect a large dataset to (1) measure the movement patterns of 7-month-old infants in their homes, (2) examine caregiving practices that influence movement...
This $707,000 National Science Foundation project grant funds the development of a personalized motor learning algorithm at the University of Southern California from August 2022 through July 2025. The university researchers aim to improve motor learning outcomes by generating customized practice schedules for individuals based on a novel algorithm. The algorithm will incorporate each learner's unique attributes and data from other learners to select daily practice doses and schedules that maximize long-term performance, given constraints on total practice time. Researchers will test the algorithm using an online motor task with adult community volunteers across the lifespan. If successful, the personalized algorithm could enhance learning in fields like sports, technical training and surgery. It may also help treat motor impairments. The grant supports educational opportunities in artificial intelligence, brain science and psychology. Findings from this Social, Behavioral, and Economic Sciences program-funded work could advance scientific understanding of optimizing motor skills acquisition.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $707.0k | 8/15/22 |
GrantNumber | Description | Subgrantee | Prime Award | Dollars Obligated | Updated At |
|---|---|---|---|---|---|
SCON00007495S | Arizona State University | Project Grant 2216344 | $100.6k | 4/4/25 |