CRI: IAD: Adaptive Manipulation in Human Populated Environments

CRI:IAD:人类居住环境中的自适应操纵

基本信息

  • 批准号:
    0707601
  • 负责人:
  • 金额:
    $ 5万
  • 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:
    2007-07-15 至 2008-06-30
  • 项目状态:
    已结题

项目摘要

Proposal #: CNS 07-07601 PI(s): Rus, Daniela Kaelbling, Leslie P.; Lozano-Perez, Tomas; Massaquoi, Steve G.; Roy, Nicholas Institution: Massachusetts Institute of Technology Cambridge, MA 02139-4307 Title: IAD:Adaptive Manipulation in Human Populated Environments Project Proposed:This project, supporting existing and developing research in robotic manipulators, aims to provide an infrastructure where faculty and students can work towards synergistic advances in robot manipulation and in the design of low-cost manipulation platforms. The work develops both new, low-cost hardware designs characterized by simplicity and predictability and stable and robust planning and control algorithms that will use sensing and learning to adapt to the different (non-ideal) capabilities of manipulators. The equipment will foster tight integration between different research programs such that algorithmic advances can be rapidly deployed on new hardware, and new hardware capabilities can drive new algorithmic development. Addressing both the algorithmic and device-level challenges that enable robots to interact adaptively with the physical world and with humans in unstructured dynamic environments, the project responds to the current lack of rigorous and practical scientific foundation for manipulation. The combination of algorithmic solutions to modeling, control, planning, and adaptation, and a robotic manipulation platform is expected to lead to new low-cost manipulation platforms within a few years. The designs include compliant and capable robot manipulators, as well as modular cooperative, neuromimetic, and underwater manipulators.Broader Impacts: Affordable, teachable, mobile manipulators should enable in-home assistants for the elderly and/or incapacitated. The next-generation of robot manipulators is likely to support new levels of factory automation, in which robots will work synergistically with humans to reduce manufacturing cost. This diverse interdisciplinary group will continue the training of solid students and participate in broad outreach activities through the Boston Museum of Science and the Boston Aquarium. Education outreach includes Robotic Education Workshops.
提案编号:CNS 07-07601 PI: 罗斯,丹妮拉Kaelbling,莱斯利P.;作者声明:作者声明:Dr.罗伊,尼古拉斯 院校:马萨诸塞州理工学院 剑桥桥,MA 02139-4307 职务名称: IAD:在人类居住环境中的自适应操纵项目建议:该项目,支持现有的和正在开发的研究机器人操纵器,旨在提供一个基础设施,教师和学生可以在机器人操纵和低成本操纵平台的设计协同进步。这项工作开发了新的、低成本的硬件设计,其特点是简单性和可预测性,以及稳定和鲁棒的规划和控制算法,这些算法将使用传感和学习来适应机械手的不同(非理想)能力。这些设备将促进不同研究项目之间的紧密集成,使算法的进步可以快速部署在新硬件上,新的硬件功能可以推动新的算法开发。该项目解决了算法和设备层面的挑战,使机器人能够在非结构化动态环境中自适应地与物理世界和人类进行交互,并回应了目前缺乏严格和实用的科学基础的问题。将建模、控制、规划和适应的算法解决方案与机器人操作平台相结合,预计将在几年内产生新的低成本操作平台。这些设计包括兼容和有能力的机器人机械手,以及模块化的合作,神经拟态,和水下manipulator.Broader影响:负担得起的,可教的,移动的机械手应使老人和/或残疾人的家庭助理。下一代机器人操作器可能会支持工厂自动化的新水平,其中机器人将与人类协同工作以降低制造成本。这个多元化的跨学科小组将继续培养扎实的学生,并通过波士顿科学博物馆和波士顿水族馆参加广泛的外联活动。教育推广包括机器人教育研讨会。

项目成果

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Daniela Rus其他文献

Roboat: A Novel Autonomous Surface Vessel for Urban Transportation
Roboat:一种用于城市交通的新型自主水面船舶
  • DOI:
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Wei Wang;David Fern´andez;Rens M. Doornbusch;Joshua Jordan;Tixiao Shan;Pietro Leoni;Niklas Hagemann;J. Schiphorst;Fábio Duarte;C. Ratti;Daniela Rus;D. Fernández;F. Durate;J. Klein
  • 通讯作者:
    J. Klein
Evolution of Neural Tangent Kernels under Benign and Adversarial Training
良性和对抗性训练下神经切线核的演化
An Experimental Study of Model-based Control for Planar Handed Shearing Auxetics Robots
平面手动剪切拉胀机器人模型控制实验研究
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Maximilian Stölzle;Daniela Rus;C. D. Santina
  • 通讯作者:
    C. D. Santina
Simulation, Co-Design, and Sensing for Soft Robots
软体机器人的仿真、协同设计和传感
GROUNDED: A localizing ground penetrating radar evaluation dataset for learning to localize in inclement weather
GROUNDED:定位探地雷达评估数据集,用于学习在恶劣天气下进行定位
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Teddy Ort;Igor Gilitschenski;Daniela Rus
  • 通讯作者:
    Daniela Rus

Daniela Rus的其他文献

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{{ truncateString('Daniela Rus', 18)}}的其他基金

EFRI C3 SoRo: Soft, Strong, and Safe Configurable Robots for Diverse Manipulation Tasks
EFRI C3 SoRo:柔软、坚固且安全的可配置机器人,适用于各种操作任务
  • 批准号:
    1830901
  • 财政年份:
    2018
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
NSF National Robotics Initiative (NRI) 2017 PI Meeting
NSF 国家机器人计划 (NRI) 2017 PI 会议
  • 批准号:
    1745122
  • 财政年份:
    2017
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
S&AS: INT: COLLAB: Autonomy as a Service
S
  • 批准号:
    1723943
  • 财政年份:
    2017
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
NSFSaTC-BSF: TWC: Small: Enabling Secure and Private Cloud Computing using Coresets
NFSaTC-BSF:TWC:小型:使用核心集实现安全和私有云计算
  • 批准号:
    1526815
  • 财政年份:
    2015
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
EFRI-ODISSEI: Programmable Origami for Integration of Self-assembling Systems in Engineered Structures
EFRI-ODISSEI:用于在工程结构中集成自组装系统的可编程折纸
  • 批准号:
    1240383
  • 财政年份:
    2012
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
NRI-Large: Collaborative Research: Soft Compliant Robotic Augmentation for Human-Robot Teams
NRI-Large:协作研究:人机团队的软兼容机器人增强
  • 批准号:
    1226883
  • 财政年份:
    2012
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
Collaborative Research: An Expedition in Computing for Compiling Printable Programmable Machines
协作研究:编译可打印可编程机器的计算探索
  • 批准号:
    1138967
  • 财政年份:
    2012
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
EAGER: Underwater Optical Communication and Perception
EAGER:水下光通信和感知
  • 批准号:
    1133224
  • 财政年份:
    2011
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
RI: Small: Collaborative Research: Adaptive Sampling with Robots for Marine Observations
RI:小型:协作研究:利用机器人进行海洋观测自适应采样
  • 批准号:
    1117178
  • 财政年份:
    2011
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
EFRI-ARESCI:Controlling the Autonomously Reconfiguring Factory
EFRI-ARESCI:控制自主重构工厂
  • 批准号:
    0735953
  • 财政年份:
    2008
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant

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串联的分子内苷元传递反应(IAD)构建beta-甘露糖苷键
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CRI: IAD: Acquisition of Research Infrastructure for Knowledge-enhanced, Large-scale Learning of Multimodality Visual Data
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合作研究:CRI:IAD:下一代 9-1-1 服务研究和开发的测试平台
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