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

• 批准号: 2133084
• 负责人: Konstantinos Karydis
• 金额: $ 150万
• 依托单位: University of California-Riverside
• 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: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2133084&HistoricalAwards=false
• 关键词: NRI; Integrated; Soft; Wearable; Robotics

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.

该国家机器人计划 (NRI-3.0) 项目为有运动障碍的婴儿开发新一代可穿戴上肢 (UE) 设备的软机器人技术，其总体目标是推断婴儿的意图、评估是否需要帮助以及何时需要帮助。目前的儿科可穿戴辅助技术缺乏高效和适应用户的必要功能和可访问性，该项目通过发现和创建适当的传感和控制硬件来解决这一差距。该项目汇集了工程、计算机科学、化学和康复领域的专家，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方面的跨学科研究问题。一系列引人入胜的问题将为不同的本科生群体提供丰富的研究机会，该项目整合了加州大学河滨分校（UCR）（西班牙裔服务机构）主办的 K-12 外展活动的现有努力，以扩大参与范围。代表性不足的少数群体该项目通过三种方式推进基础工程知识：1）通过无透镜相机进行生物力学应用的视觉传感，该相机可以采用任意形状，并且具有超薄的外形，可以与软材料和表面无缝集成。 UE 辅助设备中使用无镜头摄像头系统的视觉对象识别和跟踪算法。 2）软流体逻辑电路，可减少控制和操作气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很有价值，在这些应用中，如果机器人的尺寸和重量较小，则可以更好地实现与人类的物理交互。 3）共享人机准入控制，使用实时数据来估计设备的动态模型及其与人类的交互，目标是通过在两者之间自主切换来提供所需的帮助。操作模式：要么屈服于用户的意图，要么施加辅助力来帮助用户的手臂到达所需的物体总体而言，这项研究将创造新形式的体现智能，以提高可穿戴辅助软机器人感知和协作行动的能力。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力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

Robust Generalized Proportional Integral Control for Trajectory Tracking of Soft Actuators in a Pediatric Wearable Assistive Device

儿科可穿戴辅助装置中软执行器轨迹跟踪的鲁棒广义比例积分控制

• DOI: 10.1109/iros55552.2023.10342528
• 发表时间: 2023-08-01
• 期刊: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
• 作者: Caio Mucchiani;Zhichao Liu;Ipsita Sahin;Elena Kokkoni;Konstantinos Karydis
• 通讯作者: Konstantinos Karydis

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: 2022-01
• 期刊: IEEE Open Journal of Signal Processing
• 影响因子: 2.8
• 作者: Zheng, Yucheng;Asif, M. Salman
• 通讯作者: Asif, M. Salman

Spatial and axial resolution limits for mask-based lensless cameras

基于掩模的无镜头相机的空间和轴向分辨率限制

• DOI: 10.1364/oe.480025
• 发表时间: 2023-01
• 期刊: Optics Express
• 影响因子: 3.8
• 作者: Hua, Yi;Asif, M. Salman;Sankaranarayanan, Aswin C.
• 通讯作者: Sankaranarayanan, Aswin C.

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: 2023-01
• 期刊: IEEE Transactions on Computational Imaging
• 影响因子: 5.4
• 作者: Zheng, Yucheng;Asif, M. Salman
• 通讯作者: Asif, M. Salman

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: 2022-08
• 期刊: IEEE ROMAN
• 作者: Mucchiani, Caio;Liu, Zhichao;Sahin, Ipsita;Dube, Jared;Vu, Linh;Kokkoni, Elena;Karydis, Konstantinos
• 通讯作者: Karydis, Konstantinos