Control and Coordination of Aerial Robots in Emerging Applications

新兴应用中空中机器人的控制和协调

基本信息

  • 批准号:
    RGPIN-2020-05705
  • 负责人:
  • 金额:
    $ 3.35万
  • 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:
    2021
  • 资助国家:
    加拿大
  • 起止时间:
    2021-01-01 至 2022-12-31
  • 项目状态:
    已结题

项目摘要

Applications of multi-rotor drones has grown considerably in recent years because of their vertical take-off/landing capability, high maneuverability, and low development cost. However, today's conventional quad-rotors and their controllers can be inadequate for some of these emerging applications. To address this gap, this research seeks new advanced control and coordination methods for nonconventional aerial robots, multi-rotor drone(s) with or without a robotic arm. Aerial robots pose unique control challenges. Contributing to these are their complex and often underactuated dynamics, their operating in 3D unstructured spaces co-occupied by other agents and obstacles, difficult localization particularly in GPS-denied environments, and safety-critical nature of their operation. The research will be pursued in three interdependent thrusts areas of: (i) Aerial manipulation (ii) Scalable aerial transportation, and (iii) Human-in-the-loop semi-autonomous control. The work in aerial manipulation will be concerned with control methods for safe and stable operation of aerial manipulators in free space and in contact. These methods should account for many important operational constraints of aerial manipulators that are often ignored in the literature. This should improve their performance, robust stability, and operational reliability. The research in aerial transportation will focus on the development of new controllers for a scalable transport system in which multiple quad-rotors would cooperatively carry a cable-suspended payload. The new controllers should be robust to external disturbances such as wind, be able to operate in the event of partial failure in the drone's hardware/software and communication systems, and be energy efficient. The third research thrust will explore new control strategies for human-in-the-loop semi-autonomous operation of aerial robots. The aim is to develop shared control strategies that will enable an expert operator to take part in the operation of one or more aerial robots in a complex task environment. Autonomous control modules will assist the operator for subtasks such as avoiding collisions and maintaining a desired drones' formation. In long term, the results of this research should facilitate the use of multi-rotor drones in emerging applications including those in search and rescue, inspection and maintenance of infrastructure, mining, warehouse operation, delivery of goods and medicine, firefighting, law enforcement, and defence. Canada's ambition to become a global player in the fields of autonomous systems and artificial intelligence is expected to fuel investments in the area of aerial robotics. Some Canadian companies have already ventured into this space and more are expected to follow in the future. This research program will contribute to the training of highly qualified personnel with the specific skill set needed for employment in this rapidly growing industry.
近年来,多旋翼无人机以其垂直起降能力强、机动性强、开发成本低等特点,得到了广泛的应用。然而,今天的传统四旋翼和他们的控制器可能是不够的一些这些新兴的应用。为了解决这一差距,本研究寻求新的先进的控制和协调方法的非常规空中机器人,多旋翼无人机(s)有或没有机械臂。空中机器人带来了独特的控制挑战。造成这些问题的原因包括它们复杂且往往驱动不足的动力学特性,它们在被其他代理和障碍物共同占据的3D非结构化空间中运行,难以定位,特别是在没有gps的环境中,以及它们运行的安全关键性质。研究将在三个相互依存的重点领域进行:(i)空中操纵(ii)可扩展的空中运输和(iii)人在环半自主控制。空中操纵的工作将涉及空中操纵臂在自由空间和接触中安全稳定运行的控制方法。这些方法应该考虑到文献中经常忽略的空中机械手的许多重要操作约束。这将提高它们的性能、健壮的稳定性和操作可靠性。航空运输领域的研究将集中于为可扩展的运输系统开发新的控制器,在该系统中,多个四旋翼将协同携带悬索载荷。新的控制器应该对风等外部干扰具有鲁棒性,能够在无人机硬件/软件和通信系统部分故障的情况下运行,并且节能。第三个研究重点是探索空中机器人人在环半自主操作的新控制策略。目的是开发共享控制策略,使专家操作员能够在复杂的任务环境中参与一个或多个空中机器人的操作。自主控制模块将协助操作员完成子任务,如避免碰撞和保持所需的无人机编队。从长远来看,这项研究的结果应该有助于多旋翼无人机在新兴应用中的使用,包括搜索和救援,基础设施的检查和维护,采矿,仓库操作,货物和药品的交付,消防,执法和国防。加拿大在自主系统和人工智能领域成为全球参与者的雄心,预计将推动对航空机器人领域的投资。一些加拿大公司已经涉足这一领域,预计未来还会有更多公司跟进。这项研究计划将有助于培养具有在这个快速发展的行业就业所需的特定技能的高素质人才。

项目成果

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Sirouspour, Shahin其他文献

Non-rigid registration of medical images based on estimation of deformation states
  • DOI:
    10.1088/0031-9155/59/22/6891
  • 发表时间:
    2014-11-21
  • 期刊:
  • 影响因子:
    3.5
  • 作者:
    Marami, Bahram;Sirouspour, Shahin;Capson, David W.
  • 通讯作者:
    Capson, David W.
A Parallel Computing Platform for Real-Time Haptic Interaction with Deformable Bodies
  • DOI:
    10.1109/toh.2009.50
  • 发表时间:
    2010-07-01
  • 期刊:
  • 影响因子:
    2.9
  • 作者:
    Mafi, Ramin;Sirouspour, Shahin;Nicolici, Nicola
  • 通讯作者:
    Nicolici, Nicola
Elastic registration of prostate MR images based on estimation of deformation states
  • DOI:
    10.1016/j.media.2014.12.007
  • 发表时间:
    2015-04-01
  • 期刊:
  • 影响因子:
    10.9
  • 作者:
    Marami, Bahram;Sirouspour, Shahin;Fenster, Aaron
  • 通讯作者:
    Fenster, Aaron
Task Performance Evaluation of Asymmetric Semiautonomous Teleoperation of Mobile Twin-Arm Robotic Manipulators
  • DOI:
    10.1109/toh.2013.23
  • 发表时间:
    2013-10-01
  • 期刊:
  • 影响因子:
    2.9
  • 作者:
    Malysz, Pawel;Sirouspour, Shahin
  • 通讯作者:
    Sirouspour, Shahin
Nonlinear and Filtered Force/Position Mappings in Bilateral Teleoperation With Application to Enhanced Stiffness Discrimination
  • DOI:
    10.1109/tro.2009.2017803
  • 发表时间:
    2009-10-01
  • 期刊:
  • 影响因子:
    7.8
  • 作者:
    Malysz, Pawel;Sirouspour, Shahin
  • 通讯作者:
    Sirouspour, Shahin

Sirouspour, Shahin的其他文献

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{{ truncateString('Sirouspour, Shahin', 18)}}的其他基金

Control and Coordination of Aerial Robots in Emerging Applications
新兴应用中空中机器人的控制和协调
  • 批准号:
    RGPIN-2020-05705
  • 财政年份:
    2022
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Control and Coordination of Aerial Robots in Emerging Applications
新兴应用中空中机器人的控制和协调
  • 批准号:
    RGPIN-2020-05705
  • 财政年份:
    2020
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Model Predictive Control Strategies for Mixed Telerobotic/Autonomous Robotic Systems
混合远程机器人/自主机器人系统的模型预测控制策略
  • 批准号:
    RGPIN-2014-04078
  • 财政年份:
    2019
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Model Predictive Control Strategies for Mixed Telerobotic/Autonomous Robotic Systems
混合远程机器人/自主机器人系统的模型预测控制策略
  • 批准号:
    RGPIN-2014-04078
  • 财政年份:
    2017
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Model Predictive Control Strategies for Mixed Telerobotic/Autonomous Robotic Systems
混合远程机器人/自主机器人系统的模型预测控制策略
  • 批准号:
    462029-2014
  • 财政年份:
    2016
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
Model Predictive Control Strategies for Mixed Telerobotic/Autonomous Robotic Systems
混合远程机器人/自主机器人系统的模型预测控制策略
  • 批准号:
    RGPIN-2014-04078
  • 财政年份:
    2016
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Optimal model predictive control of a commuter train system
通勤列车系统的最优模型预测控制
  • 批准号:
    469753-2014
  • 财政年份:
    2016
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Collaborative Research and Development Grants
Model Predictive Control Strategies for Mixed Telerobotic/Autonomous Robotic Systems
混合远程机器人/自主机器人系统的模型预测控制策略
  • 批准号:
    462029-2014
  • 财政年份:
    2015
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
Model Predictive Control Strategies for Mixed Telerobotic/Autonomous Robotic Systems
混合远程机器人/自主机器人系统的模型预测控制策略
  • 批准号:
    RGPIN-2014-04078
  • 财政年份:
    2015
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Optimal model predictive control of a commuter train system
通勤列车系统的最优模型预测控制
  • 批准号:
    469753-2014
  • 财政年份:
    2015
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Collaborative Research and Development Grants

相似海外基金

CAREER: Toward Autonomous Decision Making and Coordination in Intelligent Unmanned Aerial Vehicles' Operation in Dynamic Uncertain Remote Areas
职业:在动态不确定的偏远地区实现智能无人机操作的自主决策和协调
  • 批准号:
    2232048
  • 财政年份:
    2022
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Continuing Grant
Control and Coordination of Aerial Robots in Emerging Applications
新兴应用中空中机器人的控制和协调
  • 批准号:
    RGPIN-2020-05705
  • 财政年份:
    2022
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Coordination and Control of Ground-Aerial Robotic Systems
地空机器人系统的协调与控制
  • 批准号:
    RGPIN-2017-04346
  • 财政年份:
    2022
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Coordination and Control of Ground-Aerial Robotic Systems
地空机器人系统的协调与控制
  • 批准号:
    RGPIN-2017-04346
  • 财政年份:
    2021
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
CAREER: Toward Autonomous Decision Making and Coordination in Intelligent Unmanned Aerial Vehicles' Operation in Dynamic Uncertain Remote Areas
职业:在动态不确定的偏远地区实现智能无人机操作的自主决策和协调
  • 批准号:
    2034218
  • 财政年份:
    2020
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Continuing Grant
Control and Coordination of Aerial Robots in Emerging Applications
新兴应用中空中机器人的控制和协调
  • 批准号:
    RGPIN-2020-05705
  • 财政年份:
    2020
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Coordination and Control of Ground-Aerial Robotic Systems
地空机器人系统的协调与控制
  • 批准号:
    RGPIN-2017-04346
  • 财政年份:
    2020
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Coordination and Control of Ground-Aerial Robotic Systems
地空机器人系统的协调与控制
  • 批准号:
    RGPIN-2017-04346
  • 财政年份:
    2019
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Coordination and Control of Ground-Aerial Robotic Systems
地空机器人系统的协调与控制
  • 批准号:
    RGPIN-2017-04346
  • 财政年份:
    2018
  • 资助金额:
    $ 3.35万
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    Discovery Grants Program - Individual
Enhanced UAV coordination for collaborative aerial delivery and transportation
增强无人机协调,实现协作式空中交付和运输
  • 批准号:
    517954-2017
  • 财政年份:
    2017
  • 资助金额:
    $ 3.35万
  • 项目类别:
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