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Award Abstract # 1935291
EFRI C3 SoRo: Functional-Domain Soft Robots Precisely Controlled by Quantitative Dynamic Models and Data

NSF Org: EFMA
Office of Emerging Frontiers in Research and Innovation (EFRI)
Recipient: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
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: FY 2019 = $2,000,000.00
History of Investigator:
  • Xuanhe Zhao (Principal Investigator)
    zhaox@mit.edu
  • Cunjiang Yu (Co-Principal Investigator)
  • Ellen Roche (Co-Principal Investigator)
  • Lingfei Wu (Former Co-Principal Investigator)
Recipient Sponsored Research Office: Massachusetts Institute of Technology
77 MASSACHUSETTS AVE
CAMBRIDGE
MA  US  02139-4301
(617)253-1000
Sponsor Congressional District: 07
Primary Place of Performance: Massachusetts Institute of Technology
77 Massachusetts Avenue
Cambridge
MA  US  02139-4301
Primary Place of Performance
Congressional District:
07
Unique Entity Identifier (UEI): E2NYLCDML6V1
Parent UEI: E2NYLCDML6V1
NSF Program(s): EFRI Research Projects
Primary Program Source: 01001920DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):
Program Element Code(s): 763300
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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(Showing: 1 - 10 of 15)
Chen, Xiaoyu and Yuk, Hyunwoo and Wu, Jingjing and Nabzdyk, Christoph S. and Zhao, Xuanhe "Instant tough bioadhesive with triggerable benign detachment" Proceedings of the National Academy of Sciences , v.117 , 2020 https://doi.org/10.1073/pnas.2006389117 Citation Details
Deng, Bolei and Wang, Shu and Hartquist, Chase and Zhao, Xuanhe "Nonlocal Intrinsic Fracture Energy of Polymerlike Networks" Physical Review Letters , v.131 , 2023 https://doi.org/10.1103/PhysRevLett.131.228102 Citation Details
Duque_Londono, Camilo and Cones, Seth F and Deng, Jue and Wu, Jingjing and Yuk, Hyunwoo and Guza, David E and Mooney, T Aran and Zhao, Xuanhe "Bioadhesive interface for marine sensors on diverse soft fragile species" Nature Communications , v.15 , 2024 https://doi.org/10.1038/s41467-024-46833-4 Citation Details
Kim, Yoonho and Genevriere, Emily and Harker, Pablo and Choe, Jaehun and Balicki, Marcin and Regenhardt, Robert W. and Vranic, Justin E. and Dmytriw, Adam A. and Patel, Aman B. and Zhao, Xuanhe "Telerobotic neurovascular interventions with magnetic manipulation" Science Robotics , v.7 , 2022 https://doi.org/10.1126/scirobotics.abg9907 Citation Details
Kim, Yoonho and Zhao, Xuanhe "Magnetic Soft Materials and Robots" Chemical Reviews , v.122 , 2022 https://doi.org/10.1021/acs.chemrev.1c00481 Citation Details
Liu, Xinyue and Inda, Maria Eugenia and Lai, Yong and Lu, Timothy K. and Zhao, Xuanhe "Engineered Living Hydrogels" Advanced Materials , v.34 , 2022 https://doi.org/10.1002/adma.202201326 Citation Details
Liu, Xinyue and Yang, Yueying and Inda, Maria Eugenia and Lin, Shaoting and Wu, Jingjing and Kim, Yoonho and Chen, Xiaoyu and Ma, Dacheng and Lu, Timothy K. and Zhao, Xuanhe "Magnetic Living Hydrogels for Intestinal Localization, Retention, and Diagnosis" Advanced Functional Materials , v.31 , 2021 https://doi.org/10.1002/adfm.202010918 Citation Details
Park, Clara and Fan, Yiling and Hager, Gregor and Yuk, Hyunwoo and Singh, Manisha and Rojas, Allison and Hameed, Aamir and Saeed, Mossab and Vasilyev, Nikolay V. and Steele, Terry W. and Zhao, Xuanhe and Nguyen, Christopher T. and Roche, Ellen T. "An organosynthetic dynamic heart model with enhanced biomimicry guided by cardiac diffusion tensor imaging" Science Robotics , v.5 , 2020 10.1126/scirobotics.aay9106 Citation Details
Park, Seongjun and Yuk, Hyunwoo and Zhao, Ruike and Yim, Yeong Shin and Woldeghebriel, Eyob W. and Kang, Jeewoo and Canales, Andres and Fink, Yoel and Choi, Gloria B. and Zhao, Xuanhe and Anikeeva, Polina "Adaptive and multifunctional hydrogel hybrid probes for long-term sensing and modulation of neural activity" Nature Communications , v.12 , 2021 https://doi.org/10.1038/s41467-021-23802-9 Citation Details
Tang, Tzu-Chieh and Tham, Eléonore and Liu, Xinyue and Yehl, Kevin and Rovner, Alexis J. and Yuk, Hyunwoo and de la Fuente-Nunez, Cesar and Isaacs, Farren J. and Zhao, Xuanhe and Lu, Timothy K. "Hydrogel-based biocontainment of bacteria for continuous sensing and computation" Nature Chemical Biology , v.17 , 2021 https://doi.org/10.1038/s41589-021-00779-6 Citation Details
Wang, Chonghe and Chen, Xiaoyu and Wang, Liu and Makihata, Mitsutoshi and Liu, Hsiao-Chuan and Zhou, Tao and Zhao, Xuanhe "Bioadhesive ultrasound for long-term continuous imaging of diverse organs" Science , v.377 , 2022 https://doi.org/10.1126/science.abo2542 Citation Details
(Showing: 1 - 10 of 15)

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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