This $478,823 federal Project Grant award from the National Science Foundation (NSF), under the Engineering program (CFDA 47.041), supports foundational research to create intelligent structures and materials with multi-faceted mechanical intelligence (mechano-intelligence). The objective is to leverage multi-functional origami as a mechanical neural network to develop self-aware, autonomous engineering systems capable of perceiving, memorizing, and making decisions about their environment....
This $236,309 National Science Foundation project grant supports fundamental research at Virginia Polytechnic Institute and State University to develop a novel approach for harnessing three-dimensional multi-stability induced by origami folding to engineer multi-functional material systems. The one-year project beginning July 15, 2022 aims to transform the ancient art of origami into a theoretical framework for designing materials with unprecedented functions through the NSF Engineering...
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...
The University of Michigan was awarded a $683,982 project grant from the National Science Foundation under the Engineering (47.041) federal grant program. The grant will fund research titled "Origami for Dexterity in Miniature Manipulation and Testing" from May 2021 through April 2024. The research aims to develop origami-inspired designs to improve dexterity in small-scale manipulation and testing. Origami folding techniques will be applied to create miniature end effectors, grippers,...
The National Science Foundation (NSF) awarded a $479,255 Project Grant under its Engineering program (CFDA 47.041) to The Trustees Of The University Of Pennsylvania, doing business as Clinical Practices Of The University Of Pennsylvania, to develop algorithms for automated design of folded robots with custom geometry and motion requirements. The goal is to simplify the complex process of designing folded mechanisms and robots by creating an end-to-end design system that can directly convert...
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 National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) EAGER grant to Northeastern University provides $229,680 from October 1, 2023 to September 30, 2025 to evaluate the feasibility of a soft and compressible electronic skin (e-skin) device that integrates a touch sensor with a soft electromagnetic coil-based flexible actuator. The goal is to replicate natural skin characteristics, including receptors embedded in soft tissue tightly coupled with muscles, to enable...
This Project Grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) will support $650,000 in research by Northeastern University over a 5-year period from June 2025 to May 2030. The research will investigate novel design strategies to enhance the adhesion and switching performance of soft sticky adhesives. These materials have broad applications ranging from load-bearing tapes to wearable sensors and flexible displays. The research aims to understand...
This $336,240 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports fundamental research to investigate the role of topological defects in regulating strain-induced crystallization in end-linked polymer networks. The research aims to combine experimental and modeling approaches to understand the coupling between strain-induced crystallization, topological defects, temperature, and the corresponding mechanical properties of these materials...
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 $455,488 National Science Foundation project grant supports the development of origami-patterned silicone elastomer mechanoreceptors for fast, reconfigurable, and soft deformation sensing through Northeastern University from October 2021 to March 2024. The goal is to investigate whether soft material origami can demonstrate advantageous mechanical properties for selective or multimodal strain, pressure, and curvature sensing. Researchers will model and characterize origami-patterned silicone elastomers under mechanical deformations, combine patterns that successfully decouple deformations with soft sensing modalities, and fabricate origami-patterned sensors with variable stiffness folds to demonstrate reconfigurable, high-dynamic range sensors. This work aims to increase fundamental understanding of origami-patterned silicone elastomer properties and yield new knowledge about generating origami patterns in silicone and integrating mechanical sensing modalities into soft, three-dimensional structures. The award falls under the NSF Engineering program (CFDA 47.041), which seeks to foster innovation and excellence in engineering research and education.