CPS: Medium: Accurate and Efficient Collective Additive Manufacturing by Mobile Robots

CPS:中:移动机器人精确高效的集体增材制造

基本信息

  • 批准号:
    1932187
  • 负责人:
  • 金额:
    $ 120万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-09-01 至 2024-08-31
  • 项目状态:
    已结题

项目摘要

Aging civil infrastructure is a critical worldwide problem that affects daily life, making it important to innovate more efficient and economical repair and construction methods for civil structures. Additive manufacturing, or 3D printing, offers a promising way to fulfill this compelling need. However, almost all current additive manufacturing methods rely on gantry-based systems that can only build structures within rigid frames, thereby restricting printing speed and scale, thus hindering their use in maintenance and construction. This award supports fundamental research to establish collective additive manufacturing, a novel robotics-based approach for large-scale 3D printing. Collective additive manufacturing uses a team of autonomous mobile robots to jointly print large-scale 3D structures. The results of the research will have a potentially wide range of applications in civil infrastructure maintenance and construction, to post-disaster response and extraterrestrial construction. The project is based on a convergent research approach involving robotics, artificial intelligence, control theory, and dynamical systems, which culminates in formal and informal learning activities to broaden participation of underrepresented groups in engineering.Collective additive manufacturing envisions the use of teams of mobile robots to overcome key limitations of existing gantry-based additive manufacturing, including its small scale and slow printing speed. To unleash the full potential of collective additive manufacturing, several scientific boundaries must be pushed, ensuring optimal deployment of multiple mobile robots that print large structures according to an engineered, virtual design. This research will fill critical knowledge gaps in robotic localization, control, and coordination, to realize a robotic team that intentionally and actively modifies its surroundings to successfully complete its printing task. This interdisciplinary research program will unfold along three thrusts: artificial intelligence for planning and localization, model predictive control to adapt to printing disturbances and substrate variations, and distributed control to elicit stable collective dynamics. Theoretical advancements will proceed alongside with experimental research toward demonstrating the potential of collective additive manufacturing to accurately and efficiently print large structures in real-world settings.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.
老化的民用基础设施是影响日常生活的一个关键的世界性问题,因此必须创新更有效和经济的民用结构维修和施工方法。增材制造或3D打印为满足这一迫切需求提供了一种有前途的方法。然而,目前几乎所有的增材制造方法都依赖于基于龙门的系统,这些系统只能在刚性框架内构建结构,从而限制了打印速度和规模,从而阻碍了它们在维护和施工中的使用。该奖项支持基础研究,以建立集体增材制造,这是一种基于机器人的新型大规模3D打印方法。集体增材制造使用一组自主移动的机器人来联合打印大规模3D结构。研究结果将在民用基础设施的维护和建设、灾后应对和外星建设方面具有广泛的应用潜力。该项目基于融合的研究方法,涉及机器人技术、人工智能、控制理论和动力系统,最终通过正式和非正式的学习活动来扩大工程中代表性不足的群体的参与。集体增材制造设想使用移动的机器人团队来克服现有基于龙门的增材制造的关键限制,包括其小规模和缓慢的打印速度。为了释放集体增材制造的全部潜力,必须突破几个科学界限,确保多个移动的机器人的最佳部署,这些机器人根据工程化的虚拟设计打印大型结构。这项研究将填补机器人定位、控制和协调方面的关键知识空白,实现一个机器人团队,有意识地主动修改其周围环境,以成功完成其打印任务。这个跨学科的研究计划将沿着沿着三个方向展开:用于规划和定位的人工智能,用于适应印刷干扰和基板变化的模型预测控制,以及用于引起稳定集体动态的分布式控制。该奖项体现了NSF的法定使命,通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(26)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Deep Weakly Supervised Positioning for Indoor Mobile Robots
室内移动机器人的深度弱监督定位
  • DOI:
    10.1109/lra.2021.3138170
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    Wang, Ruoyu;Xu, Xuchu;Ding, Li;Huang, Yang;Feng, Chen
  • 通讯作者:
    Feng, Chen
Projector-Guided Non-Holonomic Mobile 3D Printing
Towards 3D Perception and Closed-Loop Control for 3D Construction Printing
Learning Distilled Collaboration Graph for Multi-Agent Perception
  • DOI:
  • 发表时间:
    2021-11
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yiming Li;Shunli Ren;Pengxiang Wu;Siheng Chen;Chen Feng;Wenjun Zhang
  • 通讯作者:
    Yiming Li;Shunli Ren;Pengxiang Wu;Siheng Chen;Chen Feng;Wenjun Zhang
Learning Simultaneous Navigation and Construction in Grid Worlds
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Wenyu Han;Haoran Wu;Eisuke Hirota;Alexander Gao;Lerrel Pinto;L. Righetti;Chen Feng
  • 通讯作者:
    Wenyu Han;Haoran Wu;Eisuke Hirota;Alexander Gao;Lerrel Pinto;L. Righetti;Chen Feng
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Chen Feng其他文献

Photocatalytic activity of sulfated Mo-doped TiO2@fumed SiO2
硫酸化Mo掺杂TiO2@气相SiO2的光催化活性
  • DOI:
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    15.1
  • 作者:
    Chen Feng;Dai Honghu;Yan Jintaog;Zhong Mingqiang
  • 通讯作者:
    Zhong Mingqiang
Real-Time Robust 3D Plane Extraction for Wearable Robot Perception and Control
用于可穿戴机器人感知和控制的实时鲁棒 3D 平面提取
  • DOI:
    10.1115/dmd2018-6964
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ran Duan;Shuangyue Yu;Guang H. Yue;R. Foulds;Chen Feng;Yingli Tian;Hao Su
  • 通讯作者:
    Hao Su
Interfacial Control of ZnO Microrod for Whispering Gallery Mode Lasing
回音壁模式激光的 ZnO 微棒界面控制
  • DOI:
    10.1021/acsphotonics.8b00128
  • 发表时间:
    2018-04
  • 期刊:
  • 影响因子:
    7
  • 作者:
    Qin Fiefei;Xu Chunxiang;Lei Dang Yuan;Li Siqi;Liu Jin;Zhu Quxiang;Cui Qiannan;You Daotong;Manohari A. Gowri;Zhu Zhu;Chen Feng
  • 通讯作者:
    Chen Feng
Fidelity quantification of mercury(II) ion via circumventing biothiols-induced sequestration in enzymatic amplification system
通过规避酶放大系统中生物硫醇诱导的螯合对汞 (II) 离子进行保真度定量
  • DOI:
    10.1039/c6ra16960k
  • 发表时间:
    2016-08
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Zhao Yue;Liu Huaqing;Chen Feng;Bai Min;Zhao Yongxi
  • 通讯作者:
    Zhao Yongxi
New 2-Benzoxazolinone Derivatives with Cytotoxic Activities from the Roots of Acanthus ilicifolius
来自 Acanthus ilicifolius 根的具有细胞毒性活性的新型 2-苯并恶唑啉酮衍生物
  • DOI:
    10.1248/cpb.c15-00597
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    1.7
  • 作者:
    Zhao Dan;Xie Lijun;Yu Lei;An Ni;Na Wei;Chen Feng;Li Youbin;Tan Yinfeng;Zhang Xiaopo
  • 通讯作者:
    Zhang Xiaopo

Chen Feng的其他文献

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{{ truncateString('Chen Feng', 18)}}的其他基金

CAREER: Robust and Collaborative Perception and Navigation for Construction Robots
职业:建筑机器人的稳健协作感知和导航
  • 批准号:
    2238968
  • 财政年份:
    2023
  • 资助金额:
    $ 120万
  • 项目类别:
    Continuing Grant
SCC-CIVIC-FA Track A: Targeted Micro-retrofits based on Building Envelope Scans using Drones, GPR, and Deep Neural Networks
SCC-CIVIC-FA 轨道 A:基于使用无人机、探地雷达和深度神经网络进行建筑包络扫描的有针对性的微改造
  • 批准号:
    2322242
  • 财政年份:
    2023
  • 资助金额:
    $ 120万
  • 项目类别:
    Standard Grant
SCC-CIVIC-PG Track A: Full Building Scans for Targeted Micro-retrofits using Drones, Radars, and Deep Learning
SCC-CIVIC-PG 轨道 A:使用无人机、雷达和深度学习进行全面建筑扫描以进行有针对性的微型改造
  • 批准号:
    2228568
  • 财政年份:
    2022
  • 资助金额:
    $ 120万
  • 项目类别:
    Standard Grant
I-Corps: Combining Traditional Building Inspection Sensors with Deep Learning and Robotics
I-Corps:将传统建筑检测传感器与深度学习和机器人技术相结合
  • 批准号:
    2232494
  • 财政年份:
    2022
  • 资助金额:
    $ 120万
  • 项目类别:
    Standard Grant
NRI: FND: Collaborative Research: DeepSoRo: High-dimensional Proprioceptive and Tactile Sensing and Modeling for Soft Grippers
NRI:FND:合作研究:DeepSoRo:软抓手的高维本体感受和触觉感知与建模
  • 批准号:
    2024882
  • 财政年份:
    2021
  • 资助金额:
    $ 120万
  • 项目类别:
    Standard Grant
W-HTF-RL: Collaborative Research: Improving the Future of Retail and Warehouse Workers with Upper Limb Disabilities via Perceptive and Adaptive Soft Wearable Robots
W-HTF-RL:协作研究:通过感知和自适应软可穿戴机器人改善上肢残疾的零售和仓库工人的未来
  • 批准号:
    2026479
  • 财政年份:
    2020
  • 资助金额:
    $ 120万
  • 项目类别:
    Standard Grant

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