Project Grant 2503725
- This Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will fund the development of advanced, vision-based tactile gel-robots capable of perceiving and manipulating soft, fragile objects. The $312,960 award will integrate fatigue-resistant photoelastic gels, stress-interpreting photometry systems, and physics-informed machine learning to enable multi-physical perception and ultra-gentle handling capabilities. This research will advance robotics in...
- This $622,769 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research at Vanderbilt University on developing miniature soft robots with integrated magnetically controlled microfluidics. The objective is to enable liquid manipulation and multi-modal locomotion in confined spaces, facilitating minimally invasive procedures such as targeted drug delivery, on-site biofluid pumping, and liquid biopsies. The research aims to address...
- This $400,000 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) is aimed at developing an innovative artificial compound eye system capable of advanced in-situ object tracking and depth perception. The project will integrate a novel photodiode-based hardware design, inspired by the hemispherical structure of arthropod eyes, to enable a wide field of view and rapid image acquisition. To efficiently process the high-dimensional visual data,...
- This $343,661 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) will fund the development of a sub-millimeter scale soft robotics "GEL-BOT" with sensing and movement capabilities inspired by the amoeba. The robot will be constructed from soft composite materials and incorporate a neuromorphic control system to convert sensed chemical signals into motion commands, enabling the robot to selectively detect electrochemical changes and perform...
- This National Science Foundation (NSF) Engineering program (CFDA 47.041) project grant award of $731,541 to the Regents of the University of California at Riverside (UC Riverside) will create a new class of microfabricated mesoscale surgical robots with shape-memory alloy (SMA) actuators, integrated sensors, and advanced control algorithms. The goal is to develop soft robots capable of safely navigating within the human body and performing dexterous manipulation of soft tissue for minimally...
- This National Science Foundation (NSF) Engineering Program (CFDA 47.041) Project Grant award of $240,000 supports research at Trustees of Boston University to develop autonomous artificial intelligence systems for safe human-robot interaction with soft robotic manipulators. The project aims to address key challenges in soft robot control, including meeting safety constraints, balancing compliance and strictness in control strategies, and enabling safe task transitions during contact with humans....
- This SBIR Phase I award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $264,016 to Surgical Vision Systems, Inc. to develop a novel semi-autonomous image-guided robotic suturing system for improving microvascular surgical procedures. The project aims to create an integrated system leveraging optical coherence tomography imaging, machine learning algorithms, and advanced robotics to enhance the precision and success rates...
- This $272,617 National Science Foundation (NSF) Engineering program (CFDA 47.041) award to the University of Illinois supports fundamental research on high-dimensional proprioceptive and tactile sensing methods for soft robotic grippers. The project aims to develop a new framework, called DeepSORO, that uses embedded cameras and advanced deep learning models to provide real-time, high-resolution sensing and state estimation of the grippers' kinematics and dynamics. This research seeks to...
- This $454,020 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) will support collaborative research at the University of Michigan to develop soft materials with embedded sensors, circuits, and actuators enabling a new class of intelligent soft robots. The goal is to create a soft robotic manipulator that can autonomously recognize and sort objects by their physical characteristics using only these advanced material components, without requiring...
- This $150,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports fundamental research at the Rochester Institute of Technology (RIT) to develop new robotic manipulation capabilities for safely and reliably handling fragile objects. The research aims to establish an understanding of the synergy between vision and touch sensing, and to create a control method based on object properties that can optimize robotic manipulation for a variety...
This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $1,038,318 to the University of Tennessee to develop a bioinspired, AI-enhanced soft robotic system for maintaining visual clarity during minimally invasive surgeries. The system integrates soft actuation, programmable fluidics, and real-time AI control to enable autonomous lens cleaning, adaptive airflow shaping, and vision enhancement within a compact robotic platform. In addition to addressing this medical need, the knowledge gained will enable applications in robotic perception for space exploration, disaster response, and advanced industrial automation. The project also contributes to STEM education through interdisciplinary training and outreach activities. The award period is from October 1, 2025 to September 30, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.0m | 8/22/25 |