
NSF Org: |
EFMA Office of Emerging Frontiers in Research and Innovation (EFRI) |
Recipient: |
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Initial Amendment Date: | September 12, 2019 |
Latest Amendment Date: | May 17, 2022 |
Award Number: | 1935291 |
Award Instrument: | Standard Grant |
Program Manager: |
Jordan Berg
jberg@nsf.gov (703)292-5365 EFMA Office of Emerging Frontiers in Research and Innovation (EFRI) ENG Directorate for Engineering |
Start Date: | October 1, 2019 |
End Date: | September 30, 2024 (Estimated) |
Total Intended Award Amount: | $2,000,000.00 |
Total Awarded Amount to Date: | $2,000,000.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
77 MASSACHUSETTS AVE CAMBRIDGE MA US 02139-4301 (617)253-1000 |
Sponsor Congressional District: |
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Primary Place of Performance: |
77 Massachusetts Avenue Cambridge MA US 02139-4301 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | EFRI Research Projects |
Primary Program Source: |
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Program Reference Code(s): | |
Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.041 |
ABSTRACT
This project will create a new class of submillimeter surgical soft robots, capable of untethered operation in the human body, and enabled by programmable domains of soft functional materials designed to respond in different ways to external magnetic fields. These materials can be used to propel and steer the robot or to trigger permanent shape change, with different functions selected by the frequency of the forcing field. Other material domains are designed to provide distributed sensing through changes in electronic properties. At the system level, both model-based and data-driven methods will be used to modulate the external magnetic field to control the robot in the body, based on real-time fluoroscopy images and information from the robot's sensors. Robot performance will be experimentally validated, including in animal models. The result will be enhanced accuracy, steerability, and navigability over conventional techniques, thus providing access to complex and constrained environments unreachable by existing surgical robots or robotic catheters. These new robots will open new venues for minimally invasive surgery and potentially address longstanding challenges and unmet needs in healthcare. The project will be carried out by a team of researchers with complementary expertise, including soft active materials design and fabrication, constitutive modeling and mechanics, flexible electronics and sensors, machine learning and data processing, medical device design, and translational medicine. The project will provide research and training opportunities to graduate, undergraduate and high school students from underrepresented groups, and will offer workshops and seminars for K-12 students.
Soft robots are currently facing a set of key challenges including untethered actuation, distributed sensing, accurate control, and miniaturization. This project seeks to address the challenges through a paradigm-shifting functional-domain approach for the design, fabrication, and control of a new class of functional-domain soft robots (FunDo SoRo). FunDo SoRo with self-contained multi-functional domains of programmable actuation and distributed sensing and data-driven strategies for accurate dynamics control will represent a new paradigm in the design, manufacture and control of soft robotics. The specific approaches in achieving FunDo SoRo are to 1) develop novel functional materials and multi-material 3D printing techniques to realize field-based remote actuation, shape-reconfiguration, and distributed sensing through a set of integrated actuation domains responsive to static magnetic fields, shape-memory domains reconfigurable under dynamic magnetic fields, and sensing domains capable of measuring strain, contact pressure, and temperature; 2) develop theoretical and computational models to quantitatively predict the dynamic response of FunDo SoRo upon actuation, and data-driven strategies assisted by machine learning to accurately control the dynamics of FunDo SoRo; and 3) experimentally validate submillimeter soft continuum robots for minimally invasive procedures to address unmet needs and challenges in healthcare such as cerebral aneurysms or obstructive pulmonary diseases.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
This project has addressed a set of key challenges in the field of soft robots, including untethered actuation, distributed sensing, accurate control, and miniaturization, through a paradigm-shifting approach of functional-domain soft robots (FunDo SoRo). Specifically, we have developed novel functional materials and multi-material 3D-printing techniques to realize field-based remote actuation and distributed sensing through a set of actuation domains responsive to magnetic fields (Image 1) and sensing domains capable of measuring strain, contact pressure, and temperature. We have developed theoretical and computational models to quantitatively predict the dynamic response of FunDo SoRo upon actuation, and data-driven strategies assisted by machine learning to accurately control the dynamics of FunDo SoRo. Additionally, we have validated the FunDo SoRo with sub-mm-scale soft continuum robots for minimally invasive procedures (Image 2) to address unmet needs and challenges in healthcare such as cerebral aneurysms (Image 3).
The Intellectual Merit of this work stems from the proposed concept of FunDo SoRo with embedded actuation-sensing domains and the innovations in novel materials and fabrication techniques. The theoretical model developed in this project provides a systematic framework for the quantitative design of functional domains to optimize the actuation and sensing performances of the proposed FunDo SoRo. Furthermore, our novel control framework based on a quantitative dynamic model and model-based simulation data can serve as an exemplary model of developing accurate dynamic control strategies for soft robots.
The Broader Impacts of this work stem from the next-generation of soft continuum robots for medical applications based on the FunDo SoRo technology. Remotely controlled, small-scale soft continuum robots, such as FunDo SoRo microcatheters, will enable access to technically challenging clinical problems which remain difficult for existing surgical robots or catheters. A US-based startup company, Magnendo, is translating the FunDo SoRo technology into clinical and societal impacts. The project has trained multiple undergraduate and graduate students in the field of soft robots. The research results from the project have also been incorporated into undergraduate and graduate classes at MIT and PSU.
Last Modified: 02/05/2025
Modified by: Xuanhe Zhao
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