Project Grant 2327217
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded a $297,148 project grant to the University of Texas at Austin to support research titled "COLLABORATIVE RESEARCH: NCS-FO: INTELLIGENT CLOSED-LOOP NEURAL INTERFACE SYSTEM FOR STUDYING MECHANISMS OF SOMATOSENSORY FEEDBACK IN CONTROL OF FUNCTIONAL AND STABLE LOCOMOTION." The two-year project, which falls under the NSF Directorate for Engineering's $47.041 Engineering program, will develop an...
- This federal Project Grant award, provided by the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075), funds a research project titled "MOTION IN ACTION: INTEGRATING MULTISENSORY INPUTS FOR POSTURE STABILIZATION AND COMPLEX ACTION ACQUISITION." The $489,062 award, with a performance period from August 1, 2025 to July 31, 2028, aims to advance understanding of how the brain processes and integrates multiple sensory inputs, such as vision,...
- This four-year, $1.96 million project grant from the National Science Foundation's Office of Emerging Frontiers and Multidisciplinary Activities, under the Engineering program (CFDA 47.041), will develop improved brain-machine interface algorithms to restore movement and speech abilities. The University of California, San Diego will apply advances in understanding biological motor control to design decoding strategies enabling robust prosthetic control across contexts. Existing feedforward...
- This $901,102 Project Grant award from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation will fund fundamental research at the University of California, Davis, the University of Colorado Boulder, and the Cleveland Clinic Foundation. The research aims to develop a new theoretical framework for promoting more forgiving and effective relationships between humans and autonomous machines through the concept of embodiment. Key activities will include:...
- 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 Project Grant award, funded by the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports research to investigate how the brain combines sensory predictions and feedback to estimate the body's state during movement. Specifically, the $488,904 award to Thomas Jefferson University's Sidney Kimmel Medical College will examine how sensory predictions update during motor learning to enable successful reaching movements, using subjective reports of...
- This National Science Foundation Project Grant of $500,000 supports research at Arizona State University from September 2022 to August 2026 under the Computer and Information Science and Engineering program (CFDA 47.070). The university will develop a human-centered computing and control framework to improve walking performance and prosthesis embodiment for individuals with lower limb amputations. Researchers will formulate a coordinated human-robot control problem and design a learning-based...
- This $600,407 National Science Foundation project grant supports research into principles of intelligent sensorimotor behavior under informational constraints from September 2021 through August 2024. Funded through the Biological Sciences program (CFDA 47.074), the grant aims to advance understanding of major biological science problems and progress in the field. The University of Cincinnati leads research into how organisms integrate sensory information and respond through motor behavior when...
- This $549,195 Project Grant, awarded April 1, 2025, by the National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems under the Engineering program (CFDA 47.041), supports the development of a minimally invasive implantable optical tactile sensor designed to restore somatosensory feedback for patients with paralysis from stroke or spinal cord injury. The University of Pennsylvania will deliver an implantable wireless device that uses...
- The National Institutes of Health (NIH) Office of the Director awarded a $1,255,340 Project Grant under the Trans-NIH Research Support program (CFDA 93.310) to the University of California, Berkeley (UC Berkeley) on September 13, 2024. The grant will fund research to understand how the brain processes somatosensory (touch) feedback to enable skilled movement control. The key products or services to be delivered under this grant include simultaneous high-density neural recordings from the motor...
NCS-FO: FUNCTIONAL AND NEURAL MECHANISMS OF INTEGRATING MULTIPLE ARTIFICIAL SOMATOSENSORY FEEDBACK SIGNALS IN PROSTHESIS CONTROL -AFTER A LIMB AMPUTATION, BOTH MOTOR AND SENSORY FUNCTIONS ASSOCIATED WITH THE LIMB ARE LOST. SUBSTANTIAL EFFORT HAS BEEN DEVOTED TO RESTORE LOST MOTOR FUNCTIONS. IN CONTRAST, THERE HAS BEEN LESS ADVANCEMENT IN RESTORING SENSORY FUNCTION. ALTHOUGH EARLIER WORKS HAVE USED SENSORY SUBSTITUTION OR NERVE STIMULATION TECHNIQUES TO ELICIT A SINGLE TYPE OF ARTIFICIAL SENSATION, THERE IS LIMITED UNDERSTANDING OF HOW THE HUMAN BRAIN INTEGRATES DIFFERENT SOURCES OF ARTIFICIAL SENSATION, WHEN MULTIPLE SENSORY STIMULATIONS ARE PROVIDED. THIS PROJECT WILL HELP UNDERSTAND THE INTEGRATION PRINCIPLES OF DIFFERENT ARTIFICIALLY EVOKED SENSATIONS OF JOINT MOVEMENTS. BY IDENTIFYING KEY FACTORS THAT DETERMINE THE INTEGRATION PRINCIPLE OF MULTIPLE SOURCES OF ARTIFICIAL SENSATION, THIS PROJECT CAN GENERATE POTENTIALLY TRANSFORMATIVE OUTCOMES FOR HUMAN-ROBOT INTERACTIONS, SPECIFICALLY DEVELOPING BRAIN-INSPIRED SENSORY STIMULATION STRATEGIES THAT CAN ENABLE INTUITIVE INTERACTIONS OF ASSISTIVE DEVICES. THE PROJECT WILL PROVIDE EDUCATIONAL OPPORTUNITIES. DIFFERENT PROJECT COMPONENTS WILL BE INTEGRATED INTO EXISTING UNDERGRADUATE COURSES. SUMMER PROJECTS INCORPORATING THE SENSORY STIMULATION TECHNIQUES WILL BE OFFERED TO LOCAL SCHOOL AND COMMUNITY COLLEGE STUDENTS. OUTREACH PROGRAMS ASSOCIATED WITH THE RESEARCH OUTCOMES WILL BE DEVELOPED TARGETING UNDERREPRESENTED STUDENTS. THE GOAL OF THIS PROJECT IS TO UNDERSTAND THE INTEGRATION PRINCIPLES OF DIFFERENT ARTIFICIALLY EVOKED PROPRIOCEPTIVE FEEDBACK. THE RESEARCH TEAM WILL COMBINE PSYCHOPHYSICAL TESTING, BEHAVIORAL MODELING, AND BRAIN SIGNAL RECORDINGS TO UNDERSTAND THE INTEGRATION PRINCIPLE OF ARTIFICIAL SENSORY SIGNALS. PROPRIOCEPTIVE FEEDBACK OF THE JOINT KINEMATICS WILL BE EVOKED USING VIBROTACTILE STIMULATION AND PERIPHERAL NERVE STIMULATION. BOTH UPPER AND LOWER LIMBS WILL BE INVESTIGATED TO EVALUATE WHETHER THE INTEGRATION PRINCIPLE IS TASK OR END-EFFECTOR DEPENDENT. THE RESEARCH TEAM WILL USE A BAYESIAN INTEGRATION MODEL AND ELECTROENCEPHALOGRAM (EEG) RECORDINGS TO QUANTIFY HOW UNCERTAINTY AND INTUITIVENESS-ASSOCIATED ATTENTIONAL BIAS OF ARTIFICIAL FEEDBACK IMPACT SENSORY INTEGRATION. THE PROJECT OUTCOMES WILL PROVIDE A THEORETICAL BASIS FOR DEVELOPING ARTIFICIAL SENSORY FEEDBACK FOR INTUITIVE HUMAN-ROBOT INTERACTIONS, AND WILL ALSO PROVIDE A RESEARCH PLATFORM FOR STUDYING SENSORY PERCEPTION. THIS PROJECT IS FUNDED BY INTEGRATIVE STRATEGIES FOR UNDERSTANDING NEURAL AND COGNITIVE SYSTEMS (NCS), A MULTIDISCIPLINARY PROGRAM JOINTLY SUPPORTED BY THE DIRECTORATES FOR BIOLOGY (BIO), COMPUTER AND INFORMATION SCIENCE AND ENGINEERING (CISE), EDUCATION AND HUMAN RESOURCES (EHR), ENGINEERING (ENG), AND SOCIAL, BEHAVIORAL, AND ECONOMIC SCIENCES (SBE). THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 6/10/25 | ||
| Not listed | $249.6k | 6/8/23 |