EFRI C3 SoRo: An integrated approach towards computational design, fabrication and understanding of bio-hybrid soft architectures capable of adaptive behavior
EFRI C3 SoRo: An integrated approach towards computational design, fabrication and understanding of bio-hybrid soft architectures capable of adaptive behavior
批准号:
1830881
负责人:
Mattia Gazzola
金额:
$200.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-10-01 至 2024-09-30
中文摘要
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英文摘要
The goal of this project is to model, design, fabricate and study micrometer to centimeter size soft bio-hybrid robots that bring together artificial elements and living biological cells. Living components promise to provide these robots with a natural organism's abilities to self-assemble, heal, grow, and to adapt to varying environments. This project is made possible by recent advances in fabrication techniques that allow artificial elements to be combined with an array of living cell types such as muscles and neurons. The proposed mini bio-hybrid robots are thus compliant, configurable, biocompatible, and can generate power from local nutrients. Bio-hybrid robots can also exhibit adaptive behaviors in response to uncertain environments, and thus offer the promise of a host of high impact applications including localized drug delivery, environmental exploration and chemical sensing, evaluation of potential surgical sites within the body, and precision manipulation and fabrication. This is in line with the national need to reduce healthcare costs by enhancing medical effectiveness as well as stimulating the development of advanced manufacturing techniques to increase competitiveness. This effort speaks to a broad audience: what can spark the imagination of potential young scientists better than bringing tiny robots to life. Excitement in this area will be leveraged via activities ranging from museum exhibitions to the deployment of high school and K-12 intuitive learning modules, in order to foster interest in advanced computing, mechanics, math, manufacturing, and biology.Soft robotics is currently constrained by a lack of rigorous engineering methods. Intuition-driven approaches are further strained in the case of bio-hybrid systems due to the inclusion of the living component, which is even less well understood. This project seeks to create a systematic approach based on modeling, simulation, and fabrication to overcome these limitations and enable deployment and scalability. Central to this project is the concept of functional units, hierarchical bio-hybrid assemblies that can be combined into integrated robotic systems capable of higher level functions, much like the organization of living organisms and object-oriented software. By embracing this analogy, five fundamental building blocks (muscle and neuron cells, elastomers, multi-stable buckling structures, wireless conformable electronics) are considered, so as to: (1) introduce a novel mathematical formalism based on Cosserat rod assemblies to model their mechanical response, actuation and interaction with the environment; (2) develop software to simulate the dynamics of composite functional units and to optimize them according to a desired target behavior; (3) fabricate and test obtained solutions, and update models based on experiments; (4) showcase new understanding by engineering integrated bots able to perform complex tasks. Thus, this effort overall deals with enabling the vision of autonomous, adaptive mini-bots and laying the analytical, computational and experimental foundations of a bio-hybrid soft engineering science.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.
期刊论文(18)
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DOI:
10.1242/jeb.223230
发表时间:
2020-08-01
期刊:
JOURNAL OF EXPERIMENTAL BIOLOGY
影响因子:
2.8
作者:
[Thandiackal, Robin, Lauder, George, V]
通讯作者:
Lauder, George, V
DOI:
10.1126/scirobotics.add1053
发表时间:
2023-01-25
期刊:
SCIENCE ROBOTICS
影响因子:
25
作者:
[Kim, Yongdeok, Yang, Yiyuan, Bashir, Rashid]
通讯作者:
Bashir, Rashid
DOI:
10.23919/acc53348.2022.9867689
发表时间:
2022
期刊:
2022 American Control Conference (ACC
影响因子:
--
作者:
[Wang, Tixian, Halder, Udit, Gribkova, Ekaterina, Gazzola, Mattia, Mehta, Prashant G.]
通讯作者:
Mehta, Prashant G.
DOI:
10.1073/pnas.1907051116
发表时间:
2019-10-01
期刊:
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
影响因子:
11.1
作者:
[Aydin, Onur, Zhang, Xiaotian, Saif, M. Taher A.]
通讯作者:
Saif, M. Taher A.
DOI:
10.1002/aisy.202000237
发表时间:
2021-05-01
期刊:
ADVANCED INTELLIGENT SYSTEMS
影响因子:
7.4
作者:
[Wang, Jiaojiao, Zhang, Xiaotian, Gazzola, Mattia]
通讯作者:
Gazzola, Mattia
共 13 条
Elements: Elastica - A software ecosystem for modeling, simulation, design, and control of soft, compliant, and heterogenous structures interacting with their environment
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批准号:2209322
-
项目类别:Standard Grant
-
资助金额:$60.0万
-
财政年份:2022
-
负责人:Mattia Gazzola
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依托单位:
Expeditions: Mind in Vitro — Computing with Living Neurons
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批准号:2123781
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项目类别:Continuing Grant
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资助金额:$1500.0万
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财政年份:2022
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负责人:Mattia Gazzola
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依托单位:
CAREER: Harnessing viscous streaming in complex active systems: mini-bots in fluids
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批准号:1846752
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项目类别:Continuing Grant
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资助金额:$50.0万
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财政年份:2019
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负责人:Mattia Gazzola
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依托单位:
Collaborative Research: Emergent Mechanics of Randomly Packed Elastic Filaments
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批准号:1825440
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项目类别:Standard Grant
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资助金额:$26.4万
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财政年份:2018
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负责人:Mattia Gazzola
-
依托单位:
国内基金
海外基金
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