The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded North Carolina State University a $317,133 Project Grant under the Engineering (CFDA 47.041) federal grant program. The grant funds research on adaptive, rapid, and multifunctional soft robots with reconfigurable shapes and motions enabled by tunable elastic instabilities. Specifically, North Carolina State University will conduct collaborative research to develop soft robotic technologies capable...
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 five-year $600,000 National Science Foundation Project Grant under the Engineering program (CFDA 47.041) will fund research at Case Western Reserve University to develop architectures for soft robot locomotion in confined spaces. The university will coordinate primitives to enable soft robots to navigate tight environments. NSF's Engineering directorate seeks to improve quality of life and economic strength through innovative engineering research and education. This award supports those...
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...
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 $330,001 federal Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports a research project at Clark University on the physical principles governing the dynamics of soft, undulating filaments in granular environments. Key objectives include: Constructing prototype soft robots that can navigate through complex sediment beds, enabled by a deeper understanding of burrowing mechanics Developing theoretical models to capture the shape, speed, and...
This Project Grant award, provided by the National Science Foundation (NSF) under its Engineering program (CFDA 47.041), will fund research to advance the capabilities of aerial robots for manipulating and transporting flexible objects such as cables, rods, hoses, and plastic sheets. The $300,664 award, with a project period from June 1, 2025 to May 31, 2030, aims to develop a novel control architecture that integrates adaptive control and reinforcement learning. This framework will enable...
This National Science Foundation Project Grant of $258,554 supports research at Louisiana State University to develop novel hybrid rigid-soft modular robots. The funding is provided through the NSF's Engineering (47.041) program to advance the integration of soft and rigid robotic elements. Specifically, the award will further the state-of-the-art in soft robotics through the creation of physical hardware designs combining stiff and soft components. Researchers will pursue two thrusts: 1)...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) award of $324,899 will fund research to enable transformative locomotion capabilities in insect-scale robots through shape-shifting. The award, granted to the University of Colorado (CU), aims to develop a novel class of shape-shifting legged robots that can actively conform to and navigate through confined and cluttered environments. The research will focus on three key areas: (1) enhancing robot adaptability through shape...
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...