Semi-passive wearable robotic devices for improving human walking economy
Semi-passive wearable robotic devices for improving human walking economy
批准号:
RGPIN-2015-06370
负责人:
Li, Qingguo
金额:
$1.6万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31
中文摘要
技术使辅助移动设备取得了重大进步,改善了行动不便的加拿大人的生活质量。随着人口老龄化,更多的加拿大人将面临与流动性挑战相关的生活方式变化。一个令人兴奋的研究领域涉及可穿戴式下肢机器人设备,它为行走困难的个人提供了独立的希望。*长期以来,改善步行经济一直被视为开发可穿戴式下肢机器人设备的一个重要目标。目前,只有一款电池供电的便携设备克服了自身的重量,降低了用户的步行成本。然而,该设备很复杂,需要电源。为了最大限度地减少对外部电池电力的依赖,这项拟议的研究旨在利用用户原本浪费的能量来改善步行经济性。未来五年的短期目标将集中在利用能量收集/回收原理来开发无源和半无源设备。这一开发是更好地了解障碍并为通过高能效可穿戴机器人设备改善步行经济的长期目标提供解决方案的第一步。计划开展两个方面的研究:(1)能源收集方法。(2)交叉联合的能源回收方法。*能源收集方法植根于我之前开发的能源收集背包。将开展三个方面的工作:(A)收割机建模和参数优化。(B)器件启动时序控制和电阻匹配。(C)学习和适应步行经济。*跨关节能量循环方法的基本原理是支持积极的肌肉工作更有效。通过故意使用设备控制能量流动,用户将执行更少的机械工作,从而节省能源。将调查两个领域:(A)能源回收装置的开发和测试。第一阶段是开发一种柔软的可穿戴外骨骼,利用背包中的弹簧组件被动储存和释放能量。第二阶段是用一种半被动装置来提高性能,这种装置可以在受控的方式下工作在能量收集或释放状态。(B)用于设备优化的肌肉骨骼模拟。为了确定最佳的设备参数,将开发OpenSim模型来模拟肌肉级别的人/设备交互。*将在此研究计划中培训两名博士、两名硕士和十名本科生。这项研究很有可能在能量自给自足的外骨骼领域取得突破,这将对行动不便的人和老年人口的生活产生巨大影响。此外,这项研究将产生新的知识产权,商业化将直接惠及加拿大经济。**
英文摘要
Technology has enabled significance advances in assistive mobility devices that have improved the quality of life for Canadians with mobility impairments. As the population ages, more Canadians will be faced with lifestyle changes related to mobility challenges. One exciting area of research involves wearable lower-limb robotic devices that offer the promise of independence to individuals with walking difficulties.******Improving walking economy has long been considered as one important objective in developing wearable lower-limb robotic devices. Currently, only one battery-powered portable device has overcome its own weight and reduced the user's walking cost. However, the device is complicated and requires a power source. To minimize the reliance on external battery power, the proposed research aims at harnessing otherwise wasted energy from the user to improve walking economy. The short-term objective over the next five years will focus on using energy harvesting/recycling principles in developing passive and semi-passive devices. The development serves as a first step to better understand the barriers and to provide solutions towards the long-term goal of improving walking economy with energy efficient wearable robotic devices. Two streams of research are planned: (1) an energy harvesting approach. (2) a cross-joint energy recycling approach.******The energy harvesting approach is rooted on my previous development of an energy harvesting backpack. Three areas of work will be carried out: (a) harvester modeling and parameter optimization. (b) device actuation timing control and resistance matching. (c) learning and adaptation on walking economy. ******The rationale for the cross-joint energy recycling approach is that supporting positive muscle work is more effective. By deliberately control the energy flow with a device, the user will perform less mechanical work and thus save energy. Two areas will be investigated: (a) energy recycling device development and testing. The first phase is to develop a soft wearable exoskeleton that stores and releases energy passively using a spring component located in a backpack. The second phase is to improve the performance with a semi-passive device that could operate in energy collection or release states in a controlled manner. (b) musculoskeletal simulation for device optimization. To determine optimal device parameters, OpenSim models will be developed to simulate the human/device interaction at the muscle level.******Two PhD, two MASc, and ten undergraduate students will be trained in this research program. The research will most likely lead to a breakthrough in the area of energy self-sufficient exoskeleton, which will create a huge impact on lives for people with mobility disability and the elderly population. Furthermore, this research will generate new intellectual property and the commercialization will directly benefit the Canadian economy. **
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会议论文
Biomechanical Energy Harvesting: Optimization, Control and Biomechanics
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批准号:RGPIN-2020-04771
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.97万
-
财政年份:2022
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负责人:Li, Qingguo
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依托单位:
Biomechanical Energy Harvesting: Optimization, Control and Biomechanics
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批准号:RGPIN-2020-04771
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.97万
-
财政年份:2021
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负责人:Li, Qingguo
-
依托单位:
Biomechanical Energy Harvesting: Optimization, Control and Biomechanics
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批准号:RGPIN-2020-04771
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.97万
-
财政年份:2020
-
负责人:Li, Qingguo
-
依托单位:
Semi-passive wearable robotic devices for improving human walking economy
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批准号:RGPIN-2015-06370
-
项目类别:Discovery Grants Program - Individual
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资助金额:$1.6万
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财政年份:2018
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负责人:Li, Qingguo
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依托单位:
Semi-passive wearable robotic devices for improving human walking economy
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批准号:RGPIN-2015-06370
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.6万
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财政年份:2017
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负责人:Li, Qingguo
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依托单位:
Semi-passive wearable robotic devices for improving human walking economy
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批准号:RGPIN-2015-06370
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.6万
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财政年份:2016
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负责人:Li, Qingguo
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依托单位:
Camera-based calibration and testing of inertial sensors in 3D joint kinematics estimation
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批准号:476555-2015
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项目类别:Engage Plus Grants Program
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资助金额:$0.73万
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财政年份:2015
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负责人:Li, Qingguo
-
依托单位:
Semi-passive wearable robotic devices for improving human walking economy
-
批准号:RGPIN-2015-06370
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.6万
-
财政年份:2015
-
负责人:Li, Qingguo
-
依托单位:
Energy efficient lower-limb wearable robotic devices
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批准号:386367-2010
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2014
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负责人:Li, Qingguo
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依托单位:
Inertial sensor for 3D joint kinematics estimation: Calibration and protocol development
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批准号:453303-2013
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项目类别:Engage Grants Program
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资助金额:$1.82万
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财政年份:2013
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负责人:Li, Qingguo
-
依托单位:
Energy efficient lower-limb wearable robotic devices
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批准号:386367-2010
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.75万
-
财政年份:2013
-
负责人:Li, Qingguo
-
依托单位:
Energy efficient lower-limb wearable robotic devices
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批准号:386367-2010
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.75万
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财政年份:2012
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负责人:Li, Qingguo
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依托单位:
Energy efficient lower-limb wearable robotic devices
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批准号:386367-2010
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2011
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负责人:Li, Qingguo
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依托单位:
Energy efficient lower-limb wearable robotic devices
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批准号:386367-2010
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.38万
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财政年份:2010
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负责人:Li, Qingguo
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依托单位:
Ambulatory inertial sensor-based motion analysis system
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批准号:390500-2010
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项目类别:Research Tools and Instruments - Category 1 (<$150,000)
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资助金额:$4.11万
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财政年份:2009
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负责人:Li, Qingguo
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依托单位:
海外基金