NRI: Collaborative Research: Unified Feedback Control and Mechanical Design for Robotic, Prosthetic, and Exoskeleton Locomotion

NRI:协作研究:机器人、假肢和外骨骼运动的统一反馈控制和机械设计

基本信息

项目摘要

There is a pressing need for wearable robots, e.g., prostheses and exoskeletons, which improve the quality of life for individuals with limited mobility - devices that work symbiotically with human users to achieve stable, safe and efficient locomotion. At present, approximately 4.7 million people in the United States would benefit from an active lower-limb exoskeleton due to the effects of stroke, polio, multiple sclerosis, spinal cord injury, and cerebral palsy, and by 2050 an estimated 1.5 million people in the United States will be living with a major lower-limb amputation. Yet current wearable robotic devices do not address this growing population's needs since they are bulky, heavy, noisy, and require large batteries for even short duration use, while implementing predominately hierarchical control algorithms. Impeding innovation in this domain is the expensive and slow traditional design-build-test approach that ignores the tight coupling between hardware specifications and control algorithm performance. The vision of this work is to provide a methodology---inspired by advancements in robotic locomotion---that allows lower-limb prostheses and exoskeletons to meet real-world requirements through the co-design of the electromechanical and feedback systems. The transformative nature of this work, therefore, stems from its ability to realize wearable robots that synergize with humans to achieve increased mobility, providing a template for the growing robotic assistive device industry and potentially improving the quality of life of millions. To realize the vision of this work, the overarching research goal is to create a new unified control and design framework that will allow for the efficient and stable locomotion of robots, prostheses, and exoskeletons. A key aspect of this control methodology is the ability to continuously mediate between different objectives enforcing stability and safety in an efficient manner through force-based interactions among (wearable) robotic devices, their environment and the user. The resulting framework will be utilized via control-in-the-loop mechanical design of prostheses and exoskeletons with stringent design requirements, tested experimentally on a novel humanoid robot, and clinically evaluated through human subject trials. This work is, therefore, guided by the following specific goals: (1) develop a unified online optimization-based control framework for (wearable) robotic locomotion that efficiently mediates stability, safety and force constraints, (2) create a feedback loop between formal control synthesis and the mechanical design of wearable robots that satisfy stringent performance requirements, (3) accelerate clinical testing by translating controllers formally and experimentally from bipedal humanoid robots to prostheses and exoskeletons. As a result of these research goals, this work has the potential to create the next generation of robotic systems that enable stable, safe and efficient human mobility.
人们迫切需要可穿戴机器人,例如假肢和外骨骼,它们可以改善行动不便的个人的生活质量——这些设备可以与人类用户共生,实现稳定、安全和高效的运动。目前,由于中风、脊髓灰质炎、多发性硬化症、脊髓损伤和脑瘫的影响,美国大约有470万人将受益于活跃的下肢外骨骼,到2050年,美国估计有150万人将患有下肢截肢。然而,目前的可穿戴机器人设备并不能满足这一不断增长的人口需求,因为它们体积庞大、重量重、噪音大,即使是短时间使用也需要大电池,同时主要采用分层控制算法。传统的设计-构建-测试方法忽略了硬件规格和控制算法性能之间的紧密耦合,这种方法昂贵且缓慢,阻碍了该领域的创新。这项工作的愿景是提供一种方法——受到机器人运动进步的启发——通过机电和反馈系统的共同设计,使下肢假肢和外骨骼能够满足现实世界的要求。因此,这项工作的变革性质源于其实现可穿戴机器人的能力,这些机器人可以与人类协同实现更高的移动性,为不断发展的机器人辅助设备行业提供模板,并有可能改善数百万人的生活质量。为了实现这项工作的愿景,总体研究目标是创建一个新的统一控制和设计框架,使机器人、假肢和外骨骼能够高效稳定地运动。这种控制方法的一个关键方面是能够通过(可穿戴)机器人设备、其环境和用户之间基于力的相互作用,在不同目标之间以有效的方式持续调解,从而实现稳定性和安全性。所得到的框架将通过具有严格设计要求的假体和外骨骼的环控机械设计,在新型类人机器人上进行实验测试,并通过人体受试者试验进行临床评估。因此,这项工作以下列具体目标为指导:(1)为(可穿戴)机器人运动开发一个统一的在线优化控制框架,有效地调节稳定性、安全性和力约束;(2)在可穿戴机器人的形式控制综合和机械设计之间建立一个反馈回路,满足严格的性能要求;(3)通过将两足人形机器人的控制器正式和实验地转化为假肢和外骨骼,加速临床试验。由于这些研究目标,这项工作有可能创造下一代机器人系统,使人类能够稳定、安全和高效地移动。

项目成果

期刊论文数量(1)
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 }}

Jessy Grizzle其他文献

Jessy Grizzle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('Jessy Grizzle', 18)}}的其他基金

Learning-Aided Integrated Control and Semantic Perception Architecture for Legged Robot Locomotion and Navigation in the Wild
用于腿式机器人野外运动和导航的学习辅助集成控制和语义感知架构
  • 批准号:
    2118818
  • 财政年份:
    2021
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Combining Optimization, Machine Learning, and Model Structure to Improve the Robustness and Agility of Modern Bipedal Machines
结合优化、机器学习和模型结构,提高现代双足机器的鲁棒性和敏捷性
  • 批准号:
    1808051
  • 财政年份:
    2018
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
INSPIRE Track 1: The Mathematics of Balance in Mechanical Systems with Impacts, Unilateral Constraints, Underactuation and Hyper-sensing: Application to Agile bipedal Locomotion
INSPIRE 轨道 1:具有冲击、单侧约束、欠驱动和超感知的机械系统中的平衡数学:在敏捷双足运动中的应用
  • 批准号:
    1343720
  • 财政年份:
    2013
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
CPS: Frontier: Collaborative Research: Correct-by-Design Control Software Synthesis for Highly Dynamic Systems
CPS:前沿:协作研究:高动态系统的设计正确控制软件综合
  • 批准号:
    1239037
  • 财政年份:
    2013
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
Feedback Control of Highly Dynamic Spatial Locomotion in 3D Bipedal Robots
3D 双足机器人高动态空间运动的反馈控制
  • 批准号:
    1231171
  • 财政年份:
    2012
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
Analytical and Experimental Investigations of Feedback Control Designs for Bipedal Walkers and Runners
双足步行者和跑步者反馈控制设计的分析和实验研究
  • 批准号:
    0856213
  • 财政年份:
    2009
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
EAGER: Insulin Delivery for Diabetes Management in the Intensive Care Unit as a Feedback Control Problem
EAGER:重症监护病房糖尿病管理中的胰岛素输送作为反馈控制问题
  • 批准号:
    0938288
  • 财政年份:
    2009
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Hybrid Control for Agility and Efficiency in Bipedal Robots with Compliance
混合控制可提高双足机器人的灵活性和效率并具有合规性
  • 批准号:
    0600869
  • 财政年份:
    2006
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Feedback Control Design for Bipedal Robots
双足机器人反馈控制设计
  • 批准号:
    0322395
  • 财政年份:
    2003
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
Biped Locomotion Control
双足运动控制
  • 批准号:
    9988695
  • 财政年份:
    2000
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant

相似海外基金

NRI/Collaborative Research: Robotic Disassembly of High-Precision Electronic Devices
NRI/合作研究:高精度电子设备的机器人拆卸
  • 批准号:
    2422640
  • 财政年份:
    2024
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
NRI/Collaborative Research: Robust Design and Reliable Autonomy for Transforming Modular Hybrid Rigid-Soft Robots
NRI/合作研究:用于改造模块化混合刚软机器人的稳健设计和可靠自主性
  • 批准号:
    2327702
  • 财政年份:
    2023
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: NRI: Understanding Underlying Risks and Sociotechnical Challenges of Powered Wearable Exoskeleton to Construction Workers
合作研究:NRI:了解建筑工人动力可穿戴外骨骼的潜在风险和社会技术挑战
  • 批准号:
    2410255
  • 财政年份:
    2023
  • 资助金额:
    $ 30万
  • 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:
    2348839
  • 财政年份:
    2023
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: NRI: Reducing Falling Risk in Robot-Assisted Retail Environments
合作研究:NRI:降低机器人辅助零售环境中的跌倒风险
  • 批准号:
    2132936
  • 财政年份:
    2022
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
NRI/Collaborative Research: Robust Design and Reliable Autonomy for Transforming Modular Hybrid Rigid-Soft Robots
NRI/合作研究:用于改造模块化混合刚软机器人的稳健设计和可靠自主性
  • 批准号:
    2133019
  • 财政年份:
    2022
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: NRI: Remotely Operated Reconfigurable Walker Robots for Eldercare
合作研究:NRI:用于老年护理的远程操作可重构步行机器人
  • 批准号:
    2133075
  • 财政年份:
    2022
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: NRI: Smart Skins for Robotic Prosthetic Hand
合作研究:NRI:机器人假手智能皮肤
  • 批准号:
    2221479
  • 财政年份:
    2022
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: NRI: Integration of Autonomous UAS in Wildland Fire Management
合作研究:NRI:自主无人机在荒地火灾管理中的整合
  • 批准号:
    2132798
  • 财政年份:
    2022
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
NRI/Collaborative Research: Robot-Assisted Feeding: Towards Efficient, Safe, and Personalized Caregiving Robots
NRI/合作研究:机器人辅助喂养:迈向高效、安全和个性化的护理机器人
  • 批准号:
    2132847
  • 财政年份:
    2022
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了