Project Grant 2421461

Award Date 11/1/24
Completion Date 10/31/27
Dollars Obligated $3M
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Boston, MA 02134, USA
Similar Awards
This $200,348 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports the development of modular biological robots with variable morphology. The project aims to create functional modules controlled by different colors of light to enable new capabilities for "biobots" - robots fabricated from biological cells. Key goals include designing biobots that can split apart or join together on...
This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) will fund a collaborative research effort to create functional, modular biological robots (biobots) with variable morphology. The $206,954 grant will enable researchers at Northwestern University to develop biobot capabilities that allow them to split apart or join together on command, using different colors of light to control their behavior. The project will use biophysical simulations and machine...
This $300,000 federal Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) establishes a community-driven effort to provide essential access to the fundamental components of the field of soft robotics. The project aims to empower all members of the soft robotics community, including academia, industry, art, and hobby sectors, to create new applications of soft robotics technologies. Key activities include curating...
This $151,343 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will fund research by Harvard University to develop and evolve modular robotic swimmers capable of enhanced mobility in challenging hydrodynamic environments. The research aims to create an "artificially-evolved modular robotic swimmer" design process that emulates natural selection, enabling the development of customized swimming robots with novel capabilities. Key focus...
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 National Science Foundation awarded a $500,000 Project Grant to President and Fellows of Harvard College under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084). The funding supports development of soft robotic educational kits to recruit a more diverse group of students into science, technology, engineering, and mathematics fields. Specifically, the awardee will refine and develop entry-level soft robotic kits with materials, build instructions, and curriculum. The kits...
This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) supports research to enable insect-scale legged robots with climbing and object grasping capabilities through the investigation of capillary adhesion and lubrication principles. The $325,497 award, made to President and Fellows of Harvard College, aims to develop analytical models, control methods, and demonstrations for reliable vertical climbing and robust grasping of irregular objects by...
This $599,885 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) aims to develop a bio-inspired design methodology powered by AI and fractal geometries to create probabilistic mechanical fasteners for robotic assembly tasks. The key products and services to be delivered under this 3-year project include: Advancing pattern recognition algorithms to extract essential patterns from biological attachment mechanisms to inform the conceptual design...
This $325,044 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research to develop a new "aerodynamic fiber deposition" technology to manufacture biomimetic soft fiber-reinforced composites with spatially varying fiber arrangements. The research aims to enable the production of high-throughput, highly controlled nano/microfiber patterns that mimic the complex fiber structures found in biological tissues like skin, muscle, and...
The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $451,667 Project Grant to Virginia Polytechnic Institute & State University (Virginia Tech) to conduct fundamental research on creating plant-inspired growing robots capable of long-duration monitoring missions in complex, dynamic environments. The research aims to develop robotic hardware and capabilities that mimic plant-like "growth" and adaptation, enabling real-time and long-term...

This $2,972,873 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will support the development of "living materials" to create biodegradable robots that can operate autonomously in natural environments. The project, titled "TRAILBLAZER: Biodegradable Living Materials," aims to develop soft, biodegradable composites that can perform desired tasks and then degrade into benign or beneficial substances. Key focus areas include novel artificial muscles, energy storage/conversion, and multi-scale fabrication strategies to enable this new paradigm for autonomous devices in unstructured environments. The award, granted to President and Fellows of Harvard College, will conclude with demonstrations of heterogeneous collectives of biodegradable synthetic "living" robots performing tasks such as assisted agriculture and environmental remediation. This project represents a significant advancement in robotics, transitioning from rigid, non-biodegradable devices to autonomous, environmentally-friendly systems that can operate in natural settings without requiring retrieval.

Generated 5/13/25, 4:02 AM