Project Grant 2138923
- This three-year $200,000 project grant from the National Science Foundation's Engineering program (CFDA 47.041) supports research at Case Western Reserve University to develop adaptive mechanics, learning and intelligent control technologies to improve soft robotic grasping. The university researchers will work to foster innovation in soft robotics through engineering research aimed at enabling soft robotic end effectors with enhanced grasping capabilities. Building on prior work, the project...
- Federal Grant Award Summary Carnegie Mellon University received a $651,000 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective October 1, 2025, through September 30, 2028. This collaborative research initiative focuses on developing advanced haptic graphical user interfaces (GUIs) by leveraging the dynamic properties of soft materials to integrate...
- Carnegie Mellon University was awarded a $847,832 project grant from the National Science Foundation Division of Research on Learning in Formal and Informal Settings. The grant is part of the NSF's Computer and Information Science and Engineering program (CFDA #47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Under the three-year award beginning October 1, 2021, Carnegie Mellon University will develop...
- 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 Project Grant award of $301,570 from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will enable researchers at Carnegie Mellon University to develop adaptive materials that can change their properties to interact more effectively with people. The project aims to generate strategically oriented microstructures within materials, such as cushioned flooring or seating, that can soften upon impact or adjust to provide ergonomic...
- Carnegie Mellon University was awarded a three-year, $636,000 Project Grant from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research titled "COLLABORATIVE RESEARCH: SHF: MEDIUM: HERMES: ON-DEVICE DISTRIBUTED MACHINE LEARNING VIA MODEL-HARDWARE CO-DESIGN." Specifically, Carnegie Mellon University will conduct investigator-initiated research and education in computing and information science...
- 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...
- Federal Project Grant Award Summary Carnegie Mellon University received a $550,000 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), effective September 1, 2025, through August 31, 2028. The award supports fundamental research to develop mathematical frameworks and theoretical foundations for sampling-based optimal control (SBOC) methods, which represent a promising category of algorithms for...
- 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...
- The National Science Foundation (NSF) awarded a $650,000 Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Carnegie Mellon University. The goal of this 1-year project is to develop a transformative, bio-inspired redesign of the robotic hand to improve functional dexterity and address national challenges like the high abandonment rates of upper limb prosthetics and the need for dexterous robotic capabilities in hazardous occupations. Key efforts include...
Carnegie Mellon University was awarded a $317,416 Project Grant from the National Science Foundation Division of Information and Intelligent Systems. The grant was awarded under the Computer and Information Science and Engineering program (CFDA #47.070) to support the research project "COLLABORATIVE RESEARCH: FRR: ADAPTIVE MECHANICS, LEARNING AND INTELLIGENT CONTROL IMPROVE SOFT ROBOTIC GRASPING" from February 1, 2022 to January 31, 2025. The grant will fund research at Carnegie Mellon University to develop new techniques in adaptive mechanics, machine learning and intelligent control to improve the grasping capabilities of soft robotic hands. The Computer and Information Science and Engineering program aims to advance computing and informatics research and education. This award supports the program's goals by funding investigator-led work that has the potential to yield new knowledge and technologies in soft robotics.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $317.4k | 1/13/22 |