CAREER: Next-Generation Surgical Robots for Energy-based Surgery

职业:用于基于能量的手术的下一代手术机器人

基本信息

  • 批准号:
    2237011
  • 负责人:
  • 金额:
    $ 59.97万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-07-01 至 2028-06-30
  • 项目状态:
    未结题

项目摘要

This Faculty Early Career Development (CAREER) award will enable a new class of surgical robots to treat disease via focused delivery of energy, without the need for physical contact with the affected tissue. The project will investigate multiple forms of energy, including lasers, radiofrequency, and ultrasonic waves. The project will create energy-based sensing modes that probe anatomical structures with a low-energy beam to determine their shape and thermal properties. These measurements, which can be updated in real-time even during a procedure, will allow safer and more precise removal of diseased tissue. Initially, all functions will be performed by command of a surgeon but because a robot is capable of reacting much faster than a human, the eventual goal of the project is to enable autonomous implementation of certain procedures. Energy-based surgical robots have the potential to improve public health by reducing surgical invasiveness, recovery times, and treatment costs, and by enabling entirely new procedures for life-threatening conditions that are currently considered inoperable. Participation of undergraduate and graduate students in this project will contribute to the training of the nation’s next generation of surgical robotics engineers. This research project will support the creation of a new framework of perception and control techniques to enable surgical robots that monitor and regulate the thermal effects created by their energy-based end effectors. The project will combine ideas and approaches from multiple areas of computer science and engineering, including heat transfer, finite element modeling, biomedical imaging, statistical state estimation, and nonlinear control theory. Expected scientific contributions include (1) new perception techniques that efficiently integrate thermal sensing, imaging, and physics-based simulations to infer critical patient information; (2) new control algorithms that leverage this enhanced perception to automatically regulate energy delivery and so achieve prescribed outcomes in the presence of uncertainty; and (3), strategies to appropriately integrate human operators into the control of robotic energy-based instruments. The expected long-term impact of this work will be to extend understanding of the interactions of robots with their environments beyond the analysis and control of contact forces, to incorporate non-contact functionality enabled by energy-based heat exchange and the control of structural temperatures.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.
该学院早期职业发展(CAREER)奖将使一类新的手术机器人能够通过集中能量输送来治疗疾病,而无需与受影响的组织进行物理接触。该项目将研究多种形式的能量,包括激光,射频和超声波。该项目将创建基于能量的传感模式,用低能光束探测解剖结构,以确定它们的形状和热特性。这些测量值甚至可以在手术过程中实时更新,将允许更安全,更精确地去除病变组织。最初,所有功能都将由外科医生执行,但由于机器人的反应速度比人类快得多,该项目的最终目标是实现某些程序的自主执行。基于能源的手术机器人有可能通过减少手术侵入性,恢复时间和治疗成本来改善公共卫生,并通过为目前被认为无法手术的危及生命的疾病提供全新的程序。本科生和研究生参与该项目将有助于培养国家下一代手术机器人工程师。该研究项目将支持创建一个新的感知和控制技术框架,以使手术机器人能够监控和调节其基于能量的末端执行器产生的热效应。该项目将结合联合收割机的想法和方法,从多个领域的计算机科学和工程,包括传热,有限元建模,生物医学成像,统计状态估计,和非线性控制理论。预期的科学贡献包括:(1)新的感知技术,有效地集成热传感,成像和基于物理的模拟,以推断关键的患者信息;(2)新的控制算法,利用这种增强的感知来自动调节能量输送,从而在存在不确定性的情况下实现规定的结果;以及(3),将人类操作员适当地集成到机器人能量基仪器的控制中的策略。这项工作的预期长期影响将是扩展对机器人与环境相互作用的理解,而不仅仅是对接触力的分析和控制,结合非接触式功能,该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响进行评估,被认为值得支持审查标准。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Loris Fichera其他文献

Learning Temperature Dynamics on Agar-Based Phantom Tissue Surface During Single Point CO $$_2$$ Laser Exposure
  • DOI:
    10.1007/s11063-014-9389-y
  • 发表时间:
    2014-10-28
  • 期刊:
  • 影响因子:
    2.800
  • 作者:
    Diego Pardo;Loris Fichera;Darwin Caldwell;Leonardo S. Mattos
  • 通讯作者:
    Leonardo S. Mattos

Loris Fichera的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Loris Fichera', 18)}}的其他基金

Collaborative Research: AccelNet: International Collaboration to Accelerate Research in Robotic Surgery
合作研究:AccelNet:加速机器人手术研究的国际合作
  • 批准号:
    1927275
  • 财政年份:
    2019
  • 资助金额:
    $ 59.97万
  • 项目类别:
    Continuing Grant

相似国自然基金

Next Generation Majorana Nanowire Hybrids
  • 批准号:
  • 批准年份:
    2020
  • 资助金额:
    20 万元
  • 项目类别:

相似海外基金

CAREER: Next-generation Logic, Memory, and Agile Microwave Devices Enabled by Spin Phenomena in Emergent Quantum Materials
职业:由新兴量子材料中的自旋现象实现的下一代逻辑、存储器和敏捷微波器件
  • 批准号:
    2339723
  • 财政年份:
    2024
  • 资助金额:
    $ 59.97万
  • 项目类别:
    Continuing Grant
CAREER: Securing Next-Generation Transportation Infrastructure: A Traffic Engineering Perspective
职业:保护下一代交通基础设施:交通工程视角
  • 批准号:
    2339753
  • 财政年份:
    2024
  • 资助金额:
    $ 59.97万
  • 项目类别:
    Standard Grant
CAREER: Next-Generation Methods for Statistical Integration of High-Dimensional Disparate Data Sources
职业:高维不同数据源统计集成的下一代方法
  • 批准号:
    2422478
  • 财政年份:
    2024
  • 资助金额:
    $ 59.97万
  • 项目类别:
    Continuing Grant
CAREER: LoRa Enabled Space-air-ground Integrated Networks for Next-Generation Agricultural IoT
职业生涯:LoRa 支持下一代农业物联网的天地一体化网络
  • 批准号:
    2338976
  • 财政年份:
    2024
  • 资助金额:
    $ 59.97万
  • 项目类别:
    Continuing Grant
CAREER: Next-generation protease inhibitor discovery with chemically diversified antibodies
职业:利用化学多样化的抗体发现下一代蛋白酶抑制剂
  • 批准号:
    2339201
  • 财政年份:
    2024
  • 资助金额:
    $ 59.97万
  • 项目类别:
    Continuing Grant
CAREER: Next Generation Online Resource Allocation
职业:下一代在线资源分配
  • 批准号:
    2340306
  • 财政年份:
    2024
  • 资助金额:
    $ 59.97万
  • 项目类别:
    Standard Grant
CAREER: Next-Generation Flow Cytometry - A New Approach to Cell Heterogeneity
职业:下一代流式细胞术 - 细胞异质性的新方法
  • 批准号:
    2422750
  • 财政年份:
    2024
  • 资助金额:
    $ 59.97万
  • 项目类别:
    Standard Grant
CAREER: Non-Local Metamaterials and Metasurfaces for Next Generation Non-Reciprocal Acoustic Devices
职业:下一代非互易声学器件的非局域超材料和超表面
  • 批准号:
    2340782
  • 财政年份:
    2024
  • 资助金额:
    $ 59.97万
  • 项目类别:
    Standard Grant
CAREER: Next Generation of High-Level Synthesis for Agile Architectural Design (ArchHLS)
职业:下一代敏捷架构设计高级综合 (ArchHLS)
  • 批准号:
    2338365
  • 财政年份:
    2024
  • 资助金额:
    $ 59.97万
  • 项目类别:
    Continuing Grant
CAREER: Engineering next-generation adrenal gland organoids
职业:设计下一代肾上腺类器官
  • 批准号:
    2335133
  • 财政年份:
    2024
  • 资助金额:
    $ 59.97万
  • 项目类别:
    Continuing Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了