Automatic Posture and Balance Support for Supernumerary Robotic Limbs

多余机器人肢体的自动姿势和平衡支持

基本信息

  • 批准号:
    EP/T027746/1
  • 负责人:
  • 金额:
    $ 47.57万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2021
  • 资助国家:
    英国
  • 起止时间:
    2021 至 无数据
  • 项目状态:
    未结题

项目摘要

It is well-known from the biomechanics and ergonomics research that material handling tasks in industry can often cause harmful working postures, potentially leading to musculoskeletal disorders and occupational injuries. Wearable robotic systems like supernumerary (additional) robotic limbs augment human bodies with extra mobility and manipulation capabilities, and they can increase the efficiency when conducting bulky material handling tasks and allow older workers to maintain their jobs. This project aims to create novel techniques to address ergonomics and safety of supernumerary robotic limbs. A novel posture and balance support wearable robotic system will be created and its control will be integrated with the supernumerary robotic limbs for material handling. The scope of the project is to study how the ergonomics of the supernumerary limbs for material handling can be improved through additional back and balance support. The implementation will be based on creating and using innovative mechatronic technologies (soft robotic actuation and sensing; light-weight cable-driven active mechanisms; haptic feedback; human-centred interactive control) and posture assessment and data processing methods (distributed wireless sensing; Cloud data storage; personalised machine-learning based data analysis and decision-making). The outcomes of the projects will have direct impacts on the UK manufacturing, logistics and agriculture industries (>15% of GDP, employing more than 10 million people), through development and evaluation of efficient and safe material handling robotic assistive technologies.
从生物力学和人体工程学研究中众所周知,工业中的物料搬运任务通常会导致有害的工作姿势,可能导致肌肉骨骼疾病和职业伤害。可穿戴机器人系统(如额外的机器人肢体)可以增强人体的移动性和操作能力,并且可以提高执行大型材料处理任务时的效率,并允许老年工人保持他们的工作。该项目旨在创造新的技术,以解决人体工程学和安全的多余的机器人肢体。一种新型的姿态和平衡支持可穿戴机器人系统将被创建,其控制将与多余的机器人肢体集成,用于物料搬运。该项目的范围是研究如何通过额外的背部和平衡支撑来改善用于物料搬运的多余肢体的人体工程学。实施将基于创建和使用创新的机电一体化技术(软机器人驱动和传感;轻型电缆驱动的主动机制;触觉反馈;以人为中心的交互式控制)以及姿势评估和数据处理方法(分布式无线传感;云数据存储;基于个性化机器学习的数据分析和决策)。这些项目的成果将通过开发和评估高效安全的物料搬运机器人辅助技术,对英国制造业、物流业和农业产生直接影响(占GDP的15%以上,雇用1000多万人)。

项目成果

期刊论文数量(9)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Accelerometer-Based Key Generation and Distribution Method for Wearable IoT Devices
基于加速度计的可穿戴物联网设备密钥生成和分发方法
  • DOI:
    10.1109/jiot.2020.3014646
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    10.6
  • 作者:
    Fangmin Sun;Weilin Zang;Huang Haohua;Ildar Farkhatdinov;Ye Li
  • 通讯作者:
    Ye Li
Cable-Driven Robotic Interface for Lower Limb Neuromechanics Identification.
用于下肢神经力学识别的电缆驱动机器人接口。
Lateralization of Impedance Control in Dynamic Versus Static Bimanual Tasks.
动态与静态双手任务中阻抗控制的偏侧化。
Tactile classification of object materials for virtual reality based robot teleoperation
基于虚拟现实的机器人远程操作的物体材料触觉分类
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Omarali B
  • 通讯作者:
    Omarali B
Human balance augmentation via a supernumerary robotic tail
通过多余的机器人尾巴增强人体平衡
  • DOI:
    10.1109/embc48229.2022.9871317
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Abeywardena S
  • 通讯作者:
    Abeywardena S
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Ildar Farkhatdinov其他文献

Ildar Farkhatdinov的其他文献

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{{ truncateString('Ildar Farkhatdinov', 18)}}的其他基金

Evaluating Haptic Feedback for Vehicle Safety in Field Robotics
评估现场机器人中车辆安全的触觉反馈
  • 批准号:
    NE/V010018/1
  • 财政年份:
    2021
  • 资助金额:
    $ 47.57万
  • 项目类别:
    Research Grant

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