A High Performance Motion Capture System to Support Versatile Research Programs

支持多种研究项目的高性能动作捕捉系统

基本信息

  • 批准号:
    RTI-2020-00639
  • 负责人:
  • 金额:
    $ 3.82万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Research Tools and Instruments
  • 财政年份:
    2019
  • 资助国家:
    加拿大
  • 起止时间:
    2019-01-01 至 2020-12-31
  • 项目状态:
    已结题

项目摘要

Accurate tracking of objects and measurement of their 3D pose (position-orientation) in real-time have numerous applications in industry and academia, e.g., for instruments calibration, and motion analysis. Motion capture or mocap systems have been designed to fulfill such a need. Since their introduction, mocap systems have been effectively used in a variety of applications in military, entertainment, sports, medicine, engineering, and, particularly, research for verification of concepts and methods. Several reports have shown that mocap systems have had a major role in speeding up the development cycle of complex systems. For instance, in robotics, mocap systems are commonly used for accurate tracking and pose measurement of mobile robots to evaluate and verify pose estimation, SLAM (simultaneous localization and mapping), and control methods. Moreover, the data from mocap systems are often used as ground-truth representing ideal perception modules. Recent market report indicates that global 3D motion capture market will grow from USD 129.8 million in 2018 to USD 252.88 million by 2024 (PR Newswire, Sep 11, 2019). Among mocap systems, optical systems have become popular due to their advantages, e.g., over inertial systems (that introduce drift and have lower positional accuracy), mechanical systems (which need wearing expensive mechanical suits), and magnetic systems (that are susceptible to electromagnetic interference from metal objects in the environment). ******In this proposal, an optical mocap system, namely Vicon Vero is requested to meet the needs of versatile research programs. The equipment will be installed in a zone accessible to other researchers across the campus to maximize its use. The research programs of the applicants that will immediately benefit from the requested equipment include projects related to: (1) modeling and control of image-guided continuum robots, with the focus on cardiac interventions; (2) development of a visual learning system for robot programming by demonstration; (3) AI-based methods for object detection, control, and farm-field coverage path planning of an autonomous seeding robot; (4) modeling and control of aerial manipulation systems; (5) design of telerobotic platforms for robotic surgery; and (6) simultaneous localization and mapping techniques for robotic vehicles.******Besides the applicants and collaborators, their postdoctoral fellows, graduate and undergraduate students will be trained to operate state-of-the-art mocap system, and learn advanced measurement, data integration and analysis methods. These skills will be important to their studies and in high-demand by key Canadian industries such as entertainment, manufacturing, and healthcare. In addition to Ryerson University, this new equipment will expand research capacity of industrial partners, iBest (Institute for Biomedical Engineering, Science, and Technology) and partner hospitals. ********
实时准确跟踪物体并测量其 3D 姿态(位置方向)在工业界和学术界有着广泛的应用,例如仪器校准和运动分析。动作捕捉或动作捕捉系统就是为了满足这种需求而设计的。自推出以来,动作捕捉系统已有效地应用于军事、娱乐、体育、医学、工程等领域的各种应用,特别是概念和方法验证的研究。一些报告表明,动捕系统在加快复杂系统的开发周期方面发挥了重要作用。例如,在机器人技术中,动作捕捉系统通常用于移动机器人的精确跟踪和姿态测量,以评估和验证姿态估计、SLAM(同时定位和建图)和控制方法。此外,来自动作捕捉系统的数据通常用作代表理想感知模块的地面实况。最近的市场报告表明,全球 3D 动作捕捉市场将从 2018 年的 1.298 亿美元增长到 2024 年的 2.5288 亿美元(美通社,2019 年 9 月 11 日)。在动作捕捉系统中,光学系统因其优点而变得流行,例如,相对于惯性系统(引入漂移且位置精度较低)、机械系统(需要穿着昂贵的机械套装)和磁系统(容易受到电磁影响)环境中金属物体的干扰)。 ******在该提案中,需要一种光学动捕系统,即 Vicon Vero 来满足多功能研究项目的需求。该设备将安装在校园内其他研究人员可以访问的区域,以最大限度地利用其用途。申请人的研究项目将立即受益于所请求的设备,包括以下项目:(1)图像引导连续体机器人的建模和控制,重点是心脏介入; (2)开发了机器人编程可视化学习系统的演示; (3) 基于人工智能的自主播种机器人的目标检测、控制和农田覆盖路径规划方法; (4) 空中操纵系统的建模与控制; (5)机器人手术远程机器人平台设计; (6)机器人车辆的同步定位和测绘技术。 *****除了申请人和合作者之外,他们的博士后研究员、研究生和本科生也将接受操作最先进的动捕系统的培训,并学习先进的测量、数据集成和分析方法。这些技能对他们的学习非常重要,而且娱乐、制造和医疗保健等加拿大主要行业也对这些技能有很高的需求。除了瑞尔森大学之外,这一新设备还将扩大工业合作伙伴、iBest(生物医学工程、科学和技术研究所)和合作医院的研究能力。 ******

项目成果

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JanabiSharifi, Farrokh其他文献

JanabiSharifi, Farrokh的其他文献

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{{ truncateString('JanabiSharifi, Farrokh', 18)}}的其他基金

High-performance image-guided continuum robots
高性能图像引导连续体机器人
  • 批准号:
    RGPIN-2017-06930
  • 财政年份:
    2022
  • 资助金额:
    $ 3.82万
  • 项目类别:
    Discovery Grants Program - Individual
High-performance image-guided continuum robots
高性能图像引导连续体机器人
  • 批准号:
    RGPIN-2017-06930
  • 财政年份:
    2021
  • 资助金额:
    $ 3.82万
  • 项目类别:
    Discovery Grants Program - Individual
High-performance image-guided continuum robots
高性能图像引导连续体机器人
  • 批准号:
    RGPIN-2017-06930
  • 财政年份:
    2020
  • 资助金额:
    $ 3.82万
  • 项目类别:
    Discovery Grants Program - Individual
A Thermal-Optical Vision System for Identification and Localization of Symptomatic COVID-19 Patients
用于识别和定位有症状的 COVID-19 患者的热光视觉系统
  • 批准号:
    554496-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 3.82万
  • 项目类别:
    Alliance Grants
High-performance image-guided continuum robots
高性能图像引导连续体机器人
  • 批准号:
    RGPIN-2017-06930
  • 财政年份:
    2019
  • 资助金额:
    $ 3.82万
  • 项目类别:
    Discovery Grants Program - Individual
High-performance image-guided continuum robots
高性能图像引导连续体机器人
  • 批准号:
    RGPIN-2017-06930
  • 财政年份:
    2018
  • 资助金额:
    $ 3.82万
  • 项目类别:
    Discovery Grants Program - Individual
A Medical Robotic Platform for Surgical and Interventional Procedures
用于外科手术和介入手术的医疗机器人平台
  • 批准号:
    RTI-2019-00887
  • 财政年份:
    2018
  • 资助金额:
    $ 3.82万
  • 项目类别:
    Research Tools and Instruments
Obstacle detection, localization, and avoidance for autonomous robotic seeding**
自主机器人播种的障碍物检测、定位和规避**
  • 批准号:
    533707-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 3.82万
  • 项目类别:
    Engage Grants Program
Development and commercialization of a visual learning system for robot programming by demonstration
通过演示进行机器人编程的视觉学习系统的开发和商业化
  • 批准号:
    486866-2015
  • 财政年份:
    2018
  • 资助金额:
    $ 3.82万
  • 项目类别:
    Idea to Innovation
Real-time 3D object/body pose estimation
实时 3D 物体/身体姿势估计
  • 批准号:
    521969-2017
  • 财政年份:
    2017
  • 资助金额:
    $ 3.82万
  • 项目类别:
    Engage Grants Program

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