MRI: Development of Infrastructure for Integrated Sensing, Modeling, and Manipulation with Robotic and Human-Machine Systems
MRI:开发用于机器人和人机系统的集成传感、建模和操作的基础设施
基本信息
- 批准号:0722943
- 负责人:
- 金额:$ 199.44万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2007
- 资助国家:美国
- 起止时间:2007-09-01 至 2012-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Proposal #: CNS 07-22943PI(s): Okamura, Allison M. Cowan, Noah J.; Hager, Gregory D.; Kazanzides, Peter.; Taylor, Russell H/Institution: Johns Hopkins University Baltimore, MD 21218-8268Title: MRI/Dev.: Infrastructure for Integrated Sensing, Modeling, and Manipulation with Robotic and Human-Machine SystemsProject Proposed:This interdisciplinary project, developing infrastructure for sensorimotor integration that fosters new studies and enhances existing work in the area of manipulation for robotics and human-machine systems, aims to offer a publicly available systems framework, including software, mechatronics, and integrated hardware. Enforcing a general development approach that can be easily extended to other robotic and human-machine applications, two complementary robotics platforms will built addressing two different application domains: a. Bimanual dexterous manipulation system with integrated environment sensing and the capability for modeling rigid objects commonly found in human environments, and. Teleoperated surgical robotic system with integrated sensors that can acquire patient-specific deformable tissue models.Moreover, via the project's website, dissemination is planned for:. Open-source software for real-time system control and sensor/model/manipulation/display integration;. Design of a complementary mechatronic firewire controller board that includes A/D, D/A, encoders, amplifiers, and low-level control capabilities via FPGS, and. Detailed descriptions of hardware integration, including WAM arms, Barrett hands, a tactile sensing suite from Pressure Profile Systems, surgical robots, cameras, ultrasound, OCT, a vision-based tracking system, visual and haptic displays, and more.Broader Impact: Integrated robotic systems that fuse multimodal sensory information to enhance models and manipulate the environment positively impact human lives, particularly in health care, safety, and human assistance. The research also impacts related disciplines, including neuroscience, rehabilitation, and surgery. Researchers will have access to open software and designs. The platforms clearly impact education, people at many career stages, from high school students to senior faculty. The system, and detailed directions on how to produce it, will be made available. The design framework will be used in undergraduate classes in conjunction with existing educational hardware; experimental platforms will be used for course projects. Visiting students and faculty (including WISE girls) will make positive use of the integrated testbeds. There is an ongoing collaboration with Morgan State U. Involving REU and RET participants, outreach is well planned. The dissemination plan includes an active web site; the software will be made available via open-source repository. Furthermore, the website documents all hardware and respective vendors.
提案编号:CNS 07-22943PI(s):Okamura、Allison M. Cowan、Noah J.;海格,格雷戈里·D.;卡赞齐德斯,彼得。 Taylor, Russell H/机构:约翰·霍普金斯大学巴尔的摩,MD 21218-8268标题:MRI/开发:机器人和人机系统集成传感、建模和操作的基础设施项目建议:这个跨学科项目,开发感觉运动集成的基础设施促进机器人和人机系统操纵领域的新研究并加强现有工作,旨在提供一个公开可用的系统框架,包括软件、机电一体化和集成硬件。为了实施可轻松扩展到其他机器人和人机应用的通用开发方法,将构建两个互补的机器人平台,解决两个不同的应用领域:具有集成环境传感功能的双手灵巧操纵系统,能够对人类环境中常见的刚性物体进行建模。带有集成传感器的遥控手术机器人系统,可以获取患者特定的可变形组织模型。此外,通过该项目的网站,计划传播:用于实时系统控制和传感器/模型/操纵/显示集成的开源软件;。设计互补的机电一体化火线控制器板,包括 A/D、D/A、编码器、放大器以及通过 FPGS 的低级控制功能。硬件集成的详细描述,包括 WAM 手臂、Barrett 手、压力分布系统的触觉传感套件、手术机器人、摄像机、超声波、OCT、基于视觉的跟踪系统、视觉和触觉显示器等。更广泛的影响:集成机器人系统融合多模态感官信息以增强模型并操纵环境,对人类生活产生积极影响,特别是在医疗保健、安全和人类援助方面。该研究还影响相关学科,包括神经科学、康复和外科。研究人员将可以使用开放软件和设计。这些平台明显影响着教育、从高中生到高级教师等各个职业阶段的人们。该系统以及如何生产该系统的详细说明将可供使用。该设计框架将结合现有的教育硬件用于本科生课程;实验平台将用于课程项目。来访的学生和教师(包括 WISE 女孩)将积极利用综合测试平台。与摩根州立大学正在进行合作。REU 和 RET 参与者都参与其中,外展活动已规划良好。传播计划包括一个活跃的网站;该软件将通过开源存储库提供。此外,该网站还记录了所有硬件和各自的供应商。
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 }}
Allison Okamura其他文献
Interactive Multi-Robot Flocking with Gesture Responsiveness and Musical Accompaniment
具有手势响应和音乐伴奏的交互式多机器人植绒
- DOI:
10.48550/arxiv.2404.00442 - 发表时间:
2024-03-30 - 期刊:
- 影响因子:0
- 作者:
Catie Cuan;Kyle Jeffrey;Kim Kleiven;Adrian Li;Emre Fisher;Matt Harrison;Benjie Holson;Allison Okamura;Matt Bennice - 通讯作者:
Matt Bennice
Allison Okamura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('Allison Okamura', 18)}}的其他基金
PFI-TT: Vine Robots for In-Pipe Navigation and Inspection of Critical Infrastructure
PFI-TT:用于管道内导航和关键基础设施检查的 Vine 机器人
- 批准号:
2345769 - 财政年份:2024
- 资助金额:
$ 199.44万 - 项目类别:
Standard Grant
Collaborative Research: HCC: Small: Computational Design and Application of Wearable Haptic Knits
合作研究:HCC:小型:可穿戴触觉针织物的计算设计与应用
- 批准号:
2301355 - 财政年份:2023
- 资助金额:
$ 199.44万 - 项目类别:
Standard Grant
NSF Convergence Accelerator Track H: Appropriate Rehabilitation Technology via Passive Tactile Stimulation
NSF 融合加速器轨道 H:通过被动触觉刺激的适当康复技术
- 批准号:
2236014 - 财政年份:2022
- 资助金额:
$ 199.44万 - 项目类别:
Standard Grant
NRI: FND: Computational and Interactive Design of Soft Growing Robot Manipulators
NRI:FND:软体生长机器人操纵器的计算和交互设计
- 批准号:
2024247 - 财政年份:2020
- 资助金额:
$ 199.44万 - 项目类别:
Standard Grant
NRI: FND: COLLAB: Intuitive, Wearable Haptic Devices for Communication with Ubiquitous Robots
NRI:FND:COLLAB:用于与无处不在的机器人通信的直观、可穿戴触觉设备
- 批准号:
1830163 - 财政年份:2018
- 资助金额:
$ 199.44万 - 项目类别:
Standard Grant
CHS: Small: Collaborative Research: Wearable Fingertip Haptic Devices for Virtual and Augmented Reality: Design, Control, and Predictive Tracking
CHS:小型:协作研究:用于虚拟和增强现实的可穿戴指尖触觉设备:设计、控制和预测跟踪
- 批准号:
1812966 - 财政年份:2018
- 资助金额:
$ 199.44万 - 项目类别:
Standard Grant
NRI: Vine Robots: Achieving Locomotion and Construction by Growth
NRI:藤蔓机器人:通过生长实现运动和建造
- 批准号:
1637446 - 财政年份:2016
- 资助金额:
$ 199.44万 - 项目类别:
Standard Grant
EXP: Hands-on Haptics Laboratories for Classroom and Online Learning
EXP:用于课堂和在线学习的动手触觉实验室
- 批准号:
1441358 - 财政年份:2014
- 资助金额:
$ 199.44万 - 项目类别:
Standard Grant
NRI-Large: Collaborative Research: Multilateral Manipulation by Human-Robot Collaborative Systems
NRI-Large:协作研究:人机协作系统的多边操纵
- 批准号:
1227406 - 财政年份:2012
- 资助金额:
$ 199.44万 - 项目类别:
Continuing Grant
HCC: Small: Haptic Realism versus Haptic Utility
HCC:小:触觉真实性与触觉实用性
- 批准号:
1217635 - 财政年份:2012
- 资助金额:
$ 199.44万 - 项目类别:
Standard Grant
相似国自然基金
SRS: US-China: 基础设施促进城乡融合可持续发展的驱动机理与决策机制研究
- 批准号:
- 批准年份:2022
- 资助金额:300 万元
- 项目类别:
生命历程视角下的基础设施建设与人力资本发展研究:以农村饮水安全为例
- 批准号:
- 批准年份:2021
- 资助金额:30 万元
- 项目类别:青年科学基金项目
交通基础设施与金融发展---对“中国经济增长之谜”的新解释
- 批准号:72162034
- 批准年份:2021
- 资助金额:28 万元
- 项目类别:地区科学基金项目
为可持续性基础设施发展而循环再开发建筑和拆迁废弃物
- 批准号:
- 批准年份:2020
- 资助金额:15 万元
- 项目类别:
NSFC-RGC青年学者论坛:面向未来的智能交通基础设施发展前沿论坛
- 批准号:
- 批准年份:2020
- 资助金额:20 万元
- 项目类别:国际(地区)合作与交流项目
相似海外基金
Stretchable Coils for Low-Field, Portable MRI
用于低场便携式 MRI 的可拉伸线圈
- 批准号:
10724525 - 财政年份:2023
- 资助金额:
$ 199.44万 - 项目类别:
Multicomponent Modeling of High-Dimensional Multiparametric MRI Data
高维多参数 MRI 数据的多分量建模
- 批准号:
10861533 - 财政年份:2023
- 资助金额:
$ 199.44万 - 项目类别:
Artificial Intelligence powered virtual digital twins to construct and validate AI automated tools for safer MR-guided adaptive RT of abdominal cancers
人工智能支持虚拟数字双胞胎来构建和验证人工智能自动化工具,以实现更安全的 MR 引导的腹部癌症自适应放疗
- 批准号:
10736347 - 财政年份:2023
- 资助金额:
$ 199.44万 - 项目类别:
Imaging transcriptomics across developmental stages of early psychotic illness
早期精神病发展阶段的转录组学成像
- 批准号:
10664783 - 财政年份:2023
- 资助金额:
$ 199.44万 - 项目类别:
NexGen 7T MRI scanner for mesoscale brain imaging: Integration and Dissemination
用于中尺度脑成像的 NexGen 7T MRI 扫描仪:整合与传播
- 批准号:
10725586 - 财政年份:2023
- 资助金额:
$ 199.44万 - 项目类别: