NRI: Integrated Soft Wearable Robotics Technology to Assist Arm Movement of Infants with Physical Impairments
NRI:集成软可穿戴机器人技术,协助身体障碍婴儿的手臂运动
基本信息
- 批准号:2133084
- 负责人:
- 金额:$ 150万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-12-01 至 2025-11-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This National Robotics Initiative (NRI-3.0) project advances soft robotics technology for a new generation of wearable upper extremity (UE) devices for infants with movement impairments. The overarching goal is to infer the infant's intent, evaluate the need for assistance, and when appropriate collaboratively aid the performance of explorative reaching actions. Current pediatric wearable assistive technology lacks the necessary functionality and accessibility to be efficient and adaptive to the user. The project addresses this gap through the discovery and creation of appropriate sensing and control hardware and algorithms for effective infant-robot physical interactions. The project brings together experts from Engineering, Computer Science, Chemistry, and Rehabilitation and poses cross-disciplinary research questions in soft robot design, dynamics and control, computer vision, and embedded systems. The rich set of engaging problems will provide abundant research opportunities for a diverse cohort of undergraduate students. The project integrates existing efforts in K-12 outreach events hosted at the University of California, Riverside (UCR) -- a Hispanic Serving Institution -- to broaden participation of under-represented minority groups.The project investigates real-time, sensor-based closed-loop control for soft wearable robotics targeted to serve as upper extremity (UE) assistive devices. The project advances fundamental engineering knowledge in three ways. 1) Visual sensing for biomechanical applications via lensless cameras, that can take arbitrary shapes and have an ultra-thin form factor that allows seamless integration with soft materials and surfaces. The project develops a new class of visual object recognition and tracking algorithms for use of lensless camera systems in UE assistive devices. 2) Soft fluidic logic circuits to reduce the amount of rigid electronic components required to control and operate pneumatically actuated soft robots. This technique has been shown to be valuable in assistive technology applications where physical interaction with humans is better achieved if the size and weight of the device components remain low. 3) Shared human-robot admittance control, that uses data in real-time to estimate dynamic models for the device and its interaction with the human. The goal is to provide as-needed assistance by autonomously switching between two operating modes: either yielding to the user’s intention, or applying assistive forces to help the user's arm reach the desired object. Overall, this research will create new forms of embodied intelligence to advance the capacity of wearable assistive soft robots to perceive and act in collaboration with a human user.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.
这个国家机器人计划(NRI-3.0)项目推进了软机器人技术,用于新一代可穿戴上肢(UE)设备,用于有运动障碍的婴儿。总体目标是推断婴儿的意图,评估援助的需要,并在适当的时候协同帮助探索性达到行动的表现。目前的儿童可穿戴辅助技术缺乏必要的功能和可访问性,以达到高效和适应用户。该项目通过发现和创建适当的传感和控制硬件和算法来解决这一差距,以实现有效的婴儿-机器人物理交互。该项目汇集了来自工程、计算机科学、化学和康复的专家,并提出了软机器人设计、动力学和控制、计算机视觉和嵌入式系统的跨学科研究问题。丰富的一套引人入胜的问题将提供丰富的研究机会,为不同的本科生队列。该项目整合了加州大学河滨分校(UCR)(一所西班牙裔服务机构)举办的K-12外展活动的现有努力,以扩大代表性不足的少数群体的参与。该项目研究了软可穿戴机器人的实时、基于传感器的闭环控制,目标是作为上肢辅助设备。该项目以三种方式推进基础工程知识。1)通过无镜头相机进行生物力学应用的视觉传感,这种相机可以采取任意形状,并且具有超薄的外形因素,可以与柔软材料和表面无缝集成。该项目开发了一类新的视觉对象识别和跟踪算法,用于在UE辅助设备中使用无镜头相机系统。2)软流体逻辑电路,以减少控制和操作气动驱动软机器人所需的刚性电子元件的数量。该技术已被证明在辅助技术应用中是有价值的,如果设备组件的尺寸和重量保持较低,则可以更好地实现与人类的物理交互。3)共享人机导纳控制,使用实时数据来估计设备的动态模型及其与人的交互。目标是通过在两种操作模式之间自主切换来提供所需的帮助:要么屈服于用户的意图,要么应用辅助力量帮助用户的手臂到达所需的物体。总的来说,这项研究将创造新的具身智能形式,以提高可穿戴辅助软机器人与人类用户合作感知和行动的能力。该奖项反映了美国国家科学基金会的法定使命,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(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
ACD-EDMD: Analytical Construction for Dictionaries of Lifting Functions in Koopman Operator-Based Nonlinear Robotic Systems
- DOI:10.1109/lra.2021.3133001
- 发表时间:2021-11
- 期刊:
- 影响因子:5.2
- 作者:Lu Shi;Konstantinos Karydis
- 通讯作者:Lu Shi;Konstantinos Karydis
Coded Illumination for Improved Lensless Imaging
用于改进无透镜成像的编码照明
- DOI:10.1109/tci.2023.3234898
- 发表时间:2023
- 期刊:
- 影响因子:5.4
- 作者:Zheng, Yucheng;Asif, M. Salman
- 通讯作者:Asif, M. Salman
Coded Illumination for 3D Lensless Imaging
用于 3D 无透镜成像的编码照明
- DOI:10.1109/ojsp.2022.3231180
- 发表时间:2022
- 期刊:
- 影响因子:2.8
- 作者:Zheng, Yucheng;Asif, M. Salman
- 通讯作者:Asif, M. Salman
Koopman Operators for Modeling and Control of Soft Robotics
- DOI:10.1007/s43154-023-00099-8
- 发表时间:2023-01
- 期刊:
- 影响因子:0
- 作者:Lu Shi;Zhichao Liu;Konstantinos Karydis
- 通讯作者:Lu Shi;Zhichao Liu;Konstantinos Karydis
Closed-loop Position Control of a Pediatric Soft Robotic Wearable Device for Upper Extremity Assistance
用于上肢辅助的儿科软机器人可穿戴设备的闭环位置控制
- DOI:10.1109/ro-man53752.2022.9900650
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Mucchiani, Caio;Liu, Zhichao;Sahin, Ipsita;Dube, Jared;Vu, Linh;Kokkoni, Elena;Karydis, Konstantinos
- 通讯作者:Karydis, Konstantinos
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Konstantinos Karydis其他文献
Uncertainty Quantification for Small Robots Using Principal Orthogonal Decomposition
使用主正交分解对小型机器人进行不确定性量化
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Konstantinos Karydis;M. A. Hsieh - 通讯作者:
M. A. Hsieh
Development and Preliminary Evaluation of a Pneumatic Sitting Postural Device for Infants
- DOI:
10.1016/j.apmr.2020.10.033 - 发表时间:
2020-12-01 - 期刊:
- 影响因子:
- 作者:
Nancy Godinez;Sierra Lopez;Avanti Mulji;Allison Pickle;Ponmathi Ramasamy Jayaseelan;Konstantinos Karydis;Elena Kokkoni - 通讯作者:
Elena Kokkoni
End-to-End Navigation in Unknown Environments using Neural Networks
使用神经网络在未知环境中进行端到端导航
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Arbaaz Khan;Clark Zhang;Nikolay A. Atanasov;Konstantinos Karydis;Daniel D. Lee;Vijay R. Kumar - 通讯作者:
Vijay R. Kumar
Neural Network Memory Architectures for Autonomous Robot Navigation
用于自主机器人导航的神经网络内存架构
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Steven W. Chen;Nikolay A. Atanasov;Arbaaz Khan;Konstantinos Karydis;Daniel D. Lee;Vijay R. Kumar - 通讯作者:
Vijay R. Kumar
Energy efficiency of trajectory generation methods for stop-and-go aerial robot navigation
走走停停的空中机器人导航轨迹生成方法的能源效率
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Nadia Kreciglowa;Konstantinos Karydis;Vijay R. Kumar - 通讯作者:
Vijay R. Kumar
Konstantinos Karydis的其他文献
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{{ truncateString('Konstantinos Karydis', 18)}}的其他基金
FW-HTF-RL/Collaborative Research: Elevating Farm Worker-Robot Collaborations in Agri-Food Ecosystems
FW-HTF-RL/协作研究:提升农业食品生态系统中的农场工人与机器人协作
- 批准号:
2326309 - 财政年份:2023
- 资助金额:
$ 150万 - 项目类别:
Standard Grant
CAREER: Morphological Computation for Resilient Dynamic Locomotion of Compliant Legged Robots with Application to Precision Agriculture
职业:顺应腿式机器人弹性动态运动的形态计算及其在精准农业中的应用
- 批准号:
2046270 - 财政年份:2021
- 资助金额:
$ 150万 - 项目类别:
Standard Grant
RI: Small: Collaborative Research: Extracting Dynamics from Limited Data for Modeling and Control of Unmanned Autonomous Systems
RI:小型:协作研究:从有限数据中提取动力学,用于无人自主系统的建模和控制
- 批准号:
1910087 - 财政年份:2019
- 资助金额:
$ 150万 - 项目类别:
Standard Grant
Group Travel Award for 2017 Workshop on Learning Perception and Control for Autonomous Flight: Safety, Memory, and Efficiency
2017年自主飞行学习感知与控制研讨会团体旅游奖:安全、记忆和效率
- 批准号:
1743262 - 财政年份:2017
- 资助金额:
$ 150万 - 项目类别:
Standard Grant
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