The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $1,640,000 Project Grant to the University of Nevada, Reno (UNR) to develop more resilient autonomous robotic systems. The 4-year project, titled "EFRI BRAID: Resilient Autonomous Navigation Inspired by the Insect Central Complex and Sensorimotor Control Motifs," aims to leverage recent discoveries in insect neuroscience to enable robots to rapidly adapt to changes in their environment or damage...
This National Science Foundation Project Grant award of $240,000 supports research under the Biological Sciences federal grant program (CFDA 47.074) from December 1, 2023 through November 30, 2025. The award funds an NSF Postdoctoral Research Fellowship in Biology to develop a comprehensive mathematical model of multisensory integration inspired by insect brain function. The fellow will leverage tools from nonlinear dynamical systems to model how insects combine distinct sensory cues like...
This $1,414,816 National Science Foundation project grant supports research into the functional stratification of sensory encoding in the biological gyroscope of flying insects. Specifically, the grant funds work at Princeton University from January 2022 through July 2024 to reveal the principles of sensory encoding and sensorimotor processing that flies use to control their halteres and aerial maneuvers. The research will combine in vivo imaging and analysis approaches from computational...
This $994,988 National Science Foundation project grant through the Engineering program (CFDA 47.041) will fund research at the University of New Mexico from May 1, 2023 through April 30, 2028. The research aims to develop an algorithmic framework for integrating knowledge of human perception and reasoning about uncertainty into the design and control of autonomous dynamical systems. New mathematical theory and computational algorithms will be created based on control theory, machine learning,...
The National Science Foundation (NSF) awarded a $2,000,000 Project Grant under the Engineering program (CFDA 47.041) to the University of California, Irvine to develop and assess the feasibility of 3D biological neural networks (3DNNs) for intelligent biomedical motor control systems. The objectives are to establish methods to fabricate robust, reliable, and reproducible 3DNNs, and to develop core principles to program them with intelligent behavior. This research aims to demonstrate...
The National Science Foundation awarded University of California Irvine a $499,793 Project Grant under the federal Computer and Information Science and Engineering grant program (CFDA 47.070). The grant will support the development of brain-inspired machine learning algorithms to provide real-time feedback to sensors and intelligently control data generation rates. This is expected to reduce sensor data outputs by up to four orders of magnitude for applications in infrastructure, mobile devices,...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) provides $202,082 to support a research project at Boston University that introduces a novel approach for robots to navigate unknown environments. The key technical aspects include: Developing compact, interpretable representations of the environment using structured elements extracted from sensor measurements and optimized over time. Synthesizing local and global...
This Project Grant award of $489,062 from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research at The Pennsylvania State University (Penn State) to understand how the brain integrates multiple sensory inputs to enable complex physical actions and maintain postural stability. The research project employs innovative virtual reality and robotic systems to study how humans control their movements and balance when interacting with...
This $644,498 award from the National Science Foundation's Engineering program (CFDA 47.041) will fund research at Rutgers, The State University to contribute new knowledge related to multi-agent autonomous systems. The project aims to uncover the feedback principles governing visuomotor control dynamics in fish schools to provide a blueprint for achieving full autonomy in artificial systems. The research involves gaining insights on individual fish navigation principles, understanding the...
This National Science Foundation (NSF) Biological Sciences (CFDA 47.074) Project Grant award of $750,000.00 will investigate how the central nervous system of vertebrates produces coordinated leg movements. Specifically, the project will use the turtle spinal cord as a model system to pharmacologically perturb inhibitory and excitatory neurotransmitter receptors to understand how the spinal cord generates and selects appropriate motor outputs for swimming, scratching, and leg withdrawal...
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 faced with limited information. A $100,000 subaward to the University of New Hampshire Office of Sponsored Research supports complementary research efforts there. The three year project grant provides nearly $600K in funding and collaborations between the two research institutions to gain new insights into sensorimotor functions under real-world constraints.